Introduction to Flutter Animation – Part 1

Well-designed animations enhance the user experience by making a UI feel more natural. They also add to the slick look and feel of a polished app. Flutter’s animation support allows a number of animation styles to be simple to introduce. Many widgets, especially Material widgets, have standard motion effects specified in their design spec, but these effects can also be customized.

Animation is a very important aspect and powerful concept in Flutter. When it comes to using or creating any mobile app, you cannot imagine any app without animation.

It changes the way you see things. Animation directly catches anyone’s attention. Follow the recomenadation to add a lit bit of advanced animation to spice up the user experience of your mobile application.

“Animation is not the art of drawing that move but the art of movements that are drawn.” – Norman McLaren

Creating some astonishing animations for your mobile app is the base and the most important thing in any application.

Interesting Fact: Around 5,00,000 developers use Flutter monthly according to Google and with more than 2 million developers, flutter uptick in enterprise use

Flutter offers an exquisite support for animation where it separates the animation in two main categories, that are:

Let’s get rolling with both type of animation.

#1 Tween Animation

Tweening” is how flutter animators create all types of animation, including computer animation. This process generates and includes frames between two images. These frames, that come in between two images are called key Frames.

It’s the abbreviated version of in-betweening. In a tween animation, the start and endpoints of the animation must be specified. It means that the animation starts with the start value and progresses through a sequence of intermediate values before arriving at the end value. Moreover, it also includes a timeline and curve that describe the transition’s duration and pace.

It also offers an appearance where the first image evolves smoothly to the second image.

TweenAnimationBuilder

TweenAnimationBuilder is here for all your needs without having to worry about the pesky animation controller.

Moreover, using TweenAnimationBuilder is easy. Thus, you can set the duration of any particular animation to the time you want it to run.

eg.

TweenAnimationBuilder<Color>(
duration: const Duration(seconds:4),
)

Using this syntax, you can set the length of the time according to your preference with duration parameter and then add your builder method to draw the widget you’ll be animating.

class TweenAnimationExample extends StatefulWidget {
@override
_TweenAnimationExampleState createState() => _TweenAnimationExampleState();
}
class _TweenAnimationExampleState extends State<TweenAnimationExample> {
double zoomInOutValue = 48.0;
@override
Widget build(BuildContext context) {
return TweenAnimationBuilder<double>(
tween: Tween<double>(begin: 0, end: zoomInOutValue),
duration: const Duration(seconds: 1),
builder: (BuildContext context, double size, Widget child) {
return IconButton(
iconSize: size,
color: Colors.blue,
icon: child,
onPressed: () {
setState(() {
zoomInOutValue = zoomInOutValue == 48.0 ? 96.0 : 48.0;
});
},
);
},
child: const Icon(Icons.ac_unit),
);
}
}

Output:

As you know, that the parameter type depends on what you’re animating.

The second parameter is dependent on what in your widget you’ll be animating. In this case, it holds the choice of Color value you wish to apply in the color filter.

At the end, specify the values that you want to animate between using the tween parameter

Note: The type of your tween should match the type of the second parameter in your builder and the Class type parameter, in case if you specify it.

Do this and there you go! You’ll get a working custom implicit animation.

Tween.animate

To use a Tween object, call animate() on it with the controller object as the argument. For example, over the course of 300 milliseconds, the following code generates integer values ranging from 0 to 200.

AnimationController controller = AnimationController(
duration: const Duration(milliseconds: 300), vsync: this);
Animation<int> alpha = IntTween(begin: 0, end: 200).animate(controller);

Note: The animate() will return an Animation, not an Animatable.

Transition with Curve Parameter

If you wish to modify the way you animate from one value to another, You can set curve parameter by using the following code

curve: Curve.bounceInOut,

Use the code in this way:

TweenAnimationBuilder<Color>(
	duration: const Duration(seconds:4),
	tween: ColorTween(
			begin: Color.white, end: Colors.pink),
curve: Curve.bounceInOut,
builder: (BuildContext _, Color value, Widget __) {...}

Animation Notification

In Animation Notification, Listeners and StatusListeners adds to an Animation object using the addListener() and addStatusListener() methods (). When the animation’s value increases, a Listener gets call. Although, the most popular action of Listener is to call setState() to force a rebuild. When an animation starts, ends, moves forward, or reverses, according to AnimationStatus, a StatusListener gets a name. Thus, the addListener() method is demonstrated in the next section, and an example of addStatusListener is demonstrated in the section Monitoring the progress of the animation.

#2 Physics-based Animation

Physics-based Animation is a form of animation that lets you create an app’s interaction feel more realistic and interactive. It simulates real-world movement/animation, such as dropping, springing, or swinging with gravity, etc. As a result, it’s an animation that reacts to user movement or input.

The simplest example is the length of a trip, and the distance travelled will be measured using physics rules.

App interactions is done in more realistic and interactive way with the use of physics Animation.

Let’s understand it more clearly using the GravitySimulation example.

GravitySimulation

Initialized with acceleration, beginning point, ending point, and starting velocity, this class simulates gravity. In this example, 100 units of acceleration in this case, and our destination is zero to 500 with zero initial velocity.

import 'package:flutter/material.dart';
import 'package:flutter/physics.dart';

class GravityBasedAnimationExample extends StatefulWidget {
_GravityBasedAnimation createState() => _GravityBasedAnimation();
}

class _GravityBasedAnimation extends State<GravityBasedAnimationExample>
with SingleTickerProviderStateMixin {
AnimationController _animationController;
GravitySimulation _gravitySimulation;

@override
void initState() {
super.initState();
_gravitySimulation = GravitySimulation(
100.0, // acceleration
0.0, // starting point
500.0, // end point
0.0, // starting velocity
);
_animationController = AnimationController(vsync: this, upperBound: 500)
..addListener(() {
setState(() {});
});
_animationController.animateWith(_gravitySimulation);
}

@override
Widget build(BuildContext context) {
return MaterialApp(
home: Stack(children: [
Positioned(
left: 100,
top: _animationController.value,
height: 24.0,
width: 24.0,
child: Container(
decoration: BoxDecoration(
borderRadius: BorderRadius.circular(12.0),
color: Colors.blue,
),
),
),
]),
);
}

@override
void dispose() {
_animationController.dispose();
super.dispose();
}
}

Output:

upper bound: It could be a bug, or it could just be me. Since the AnimationController class value has a max and min limit, the simulation’s end location will not function as anticipated. Thus, the upper bound property’s default value is 1. If you’re using simulation and your controller. value is stuck at 1, you should adjust the upper-bound value.

control.animateWith: Thus, it tells the controller to use the simulation we set up in controller.animateWith. You’ll note that the period in the controller is not specified because the duration of the animation is calculated by the controller based on the parameters we set in our simulation.

SpringSimulation

Using a Spring Simulation, this step shows how to shift a widget from a dragged point back to the middle.

1st Step: Animation controller setup

2nd Step: Then, move the widget using gestures

3rd Step: Animating the Widget

4th Step: To simulate a springing motion, calculate the velocity

You may want to animate a widget to make it act like it’s connected to a spring or dropping with gravity, for example.

Here, Let’s take an example of Spring-simulation

import 'package:flutter/material.dart';
import 'package:flutter/physics.dart';

class SpringBasedAnimationExample extends StatefulWidget {
_SpringBasedAnimation createState() => _SpringBasedAnimation();
}
class _SpringBasedAnimation extends State<SpringBasedAnimationExample>
with SingleTickerProviderStateMixin {
AnimationController _animationController;
SpringSimulation _springSimulation;

@override
void initState() {
super.initState();
_springSimulation = SpringSimulation(
SpringDescription(
mass: 1,
stiffness: 100,
damping: 1,
),
0.0, // starting point
300.0, // ending point
10, // velocity
);
_animationController = AnimationController(
vsync: this,
upperBound: 500,
)..addListener(() {
print(_animationController.value);
setState(() {});
});
_animationController.animateWith(_springSimulation);
}

@override
Widget build(BuildContext context) {
return MaterialApp(
home: Stack(children: [
Positioned(
left: 50,
top: _animationController.value,
height: 24.0,
width: 24.0,
child: Container(
decoration: BoxDecoration(
borderRadius: BorderRadius.circular(12.0),
color: Colors.blue,
),
),
),
]),
);
}
@override
void dispose() {
_animationController.dispose();
super.dispose();
}
}

Output:

Here, Because of the spring’s oscillation, the upperBound value is greater than the ending point in simulation parameters.

Except as otherwise noted, see how the parameters of SpringSimulation influence the animation in these GIFs.

Wrapping up!

So, we hope that you’re clear with flutter animation’s types, which are: Tween Animation and Physical-Based Animation. In the next part, we will discuss other types of flutter animation. Till then. Stay tuned!

Other than this, if you’re interested in gaining some interesting views on Flutter and Mobile App Development. Check out our Article on “Flutter vs. ReactNative vs. Xamarin” and “Mobile App Development Trends to follow in 2021”. If you liked this article, you’ll like others too.

Best Cross-platform App Development Tool to choose in 2021: Flutter vs. React Native vs. Xamarin

A sharp spike in Mobile app development after Covid-19 Pandemic took place; the usage of cross-platform app development tools has increased. A large number of Mobile App Development Companies are interested in using cross-platform technologies. 

There is no way that mobile apps developed on cross-platforms can match the level of native mobile apps when it comes to their performances.

“Choosing a Mobile Development Framework is Hard” By Most Developers

Native Platform is good but there are mainly two issues that developers face with native mobile development: Consistency and Cost. But for better mobile app development; cross-platform frameworks already exist in the market that give solutions to both problems.

Let’s have a look at all top cross-platforms and sort out your choice here and answer the question “Which cross-platform mobile app development will you choose to create the best Application?

When making your first app, it can be difficult, it can be daunting to decide from all the different options that are available for use for the mobile app framework. It makes it tough, it’s not easy.  There is a lot of information out there, that can lead us to a good path or a bad path. On top of that, there’s a lot of considerations outside of the framework that impacts our app as well.

Let’s take a look at the considerations first.

Considerations

These are some points that you should keep in mind while choosing the best app framework for development.

  • Development Costs
  • Hire an Appropriate Engineer
  • Maintenance Cost
  • App Performance
  • Features Required
  • 3rd Party Risks

Flutter vs. React Native vs. Xamarin

Flutter vs. React Native vs. Xamarin
Flutter vs. React Native vs. Xamarin

The Cross-platform frameworks for mobile app development are in a lot. These platforms allow us to still create a totally native app that gives us access to every single iOS and Android API.

Every framework has its pros and cons, but here I have mentioned some of the best mobile app development frameworks that are very popular among developers for their particular functionalities.  Those frameworks are Flutter, React Native and Xamarin.       

Let’s start going through every framework one by one.

Flutter

Flutter allows for the rapid and simple creation of cross-platform mobile app development. You do not need to build different iOS and Android apps. What you need is a single codebase to support both platforms.

Flutter consists of two important parts in it:

#1 SDK (Software Development Kit): A selection of resources that will aid you in the creation of your applications. This includes compilers and tools for compiling the code into native machine code.

Flutter is Google’s mobile app SDK, which includes a framework, widgets, and tools to make it simple for developers to create and deploy visually appealing, fast mobile apps on both the Android and iOS platforms.

#2 Framework: A collection of reusable UI elements text inputs, buttons, sliders, and so on. You can use this to customize in a way that fits your needs.

Flutter’s programming language is Dart, which is an unusual choice given that it is not well-known. If your developers haven’t worked with Flutter before, they’ll most likely have to learn Dart on top of Flutter. However, that isn’t too hard to do as it is pretty similar to JavaScript. It should be noted though.

One of the major issues for cross-platform developers using Xamarin and React Native was the lack of support for customizing native UI components, which are used internally in both frameworks.

Since native libraries and code can be incorporated with Flutter applications, some iOS / Android knowledge is needed. The same three-language issue, requiring developers to be proficient in three technologies at the same time.

Since Flutter is written almost entirely in Dart, developers would have a difficult time migrating Flutter projects to other cross-platform frameworks or native applications. All would have to be rewritten from scratch.

About Flutter- Cross-Platform App Development
About Flutter

Why and When to use Flutter?

It is clear that Flutter is not yet mature enough to manage more complex projects. At the same time, it’s a nice option for an MVP (especially for startups). Actually, this is a general trend for all emerging technologies.

Essentially, if you have an idea for a mobile app but aren’t sure if it’s a good one, create your MVP with Flutter to save money and see your idea in motion. If the MVP is a success, you should consider “turning it” into native mobile apps instead.

Let’s face it: creating two different apps from the beginning will require significantly more time and resources. This is also one of the reasons why startups with limited capital choose cross-platform solutions such as Flutter. Reusing code allows them to bring their innovations to life without having to make large investments.

Pros & Cons of Flutter

Pros

  • Quick Compilation
  • Simple and Easy to learn
  • Easy to use
  • Ideal option for startup MVPs
  • Large Community
  • Supported by Android Studion & VS Code
  • Hot Reload (used for making changes in code)
  • Fast Rendering

Cons

  • Not Mature
  • Apps are quite large and heavy to start
  • No guidelines being followed
  • Weak iOS features support
  • Lack of Password manager support

React native

React Native extends the React approach to mobile. A single JavaScript codebase (UI and business logic) is written and then compiled into native apps.

React Native is Facebook’s cross-platform. Facebook and the open-source community actively support technology. The Android and iOS SDKs are wrapped and exposed to JavaScript in the same way that Xamarin is. However, because of their popularity, there are many more actively supported third-party libraries.

In this, you get faster development speed because again, here, you have to write the code once and it will run on both iOS and Android Platforms. Also, the maintenance cost is low because once the code is fixed, you won’t have to worry about it ever again.    

There is no easy way out once you’ve decided to use React Native for your project. A complete rewrite will be required to migrate to other cross-platform frameworks or native mobile apps.

If you’ve worked with React before and want to get your team up and running quickly with a mobile app, React Native is a best option.

You can recruit a couple of senior developers to assist you in writing native and bridging code, you can put together a fairly good mobile team. If not, you will become dissatisfied because what is given out of the box for React Native is not feature-rich or feature-complete. This will leave you scouring the internet for open source solutions from third parties, which could be hit-or-miss in terms of quality or growth.

React Native is fine, and it has the potential to be great, but it has yet to deliver on the promise of having a single codebase to rule them all.

Overview of React Native- Cross-Platform App Development
Overview of React Native

Why and When to use React Native?

The primary advantage of using React Native is the ability to share code between iOS and Android rather than writing and maintaining two entirely different codebases. Aside from that, you can reuse portions of your web app. You can share even more code between the three platforms if you use React Native Web. Perhaps the whole thing.

Another advantage is that app updates are delivered more quickly. The app review process is not needed for your app. Instead, you can use Expo or CodePush to perform over-the-air (OTA) updates (except while updating native code).

Pros & Cons of React Native

Pros

  • Common codebase
  • Shorter Time for Marketing
  • Easy to learn for developers
  • Fast development with Hot-Reloading
  • Open Source
  • Faster Performance
  • Possesses Stability

Cons

  • Navigation is not smooth
  • Hiring an Expert is necessary
  • Difficulties in Renewing License
  • Not All APIs are supported
  • Less Third-Party Libraries

Xamarin

Xamarin is Microsoft’s cross-platform native solution that we build in visual studio using programming languages (.Net, C#, and F#). It was founded in 2011 and then in 2016, Microsoft acquired it. Xamarin has created an open-source C#-based platform that enables the development of mobile apps for Android, iOS, and Windows Phone from a single codebase.

The UI and UX  are totally native and come with fast development speeds because you would be writing in one language, so you don’t have to rewrite it like other first-party toolsets.

Its performance is just as high and fast just like the coding in Xcode and Android Studio.

Xamarin is one of the best cross-platform mobile app development tools because it is a mature technology, it has been around for over a decade, and it’s feature-complete, meaning every time Apple and Google release an update; Microsoft will release those same updates in Visual studio. Also, it’s open-source.

The vast majority of iOS and Android SDKs are wrapped and accessible via C# client code. Considering this case of lacking features native code and native libraries can be combined with Xamarin applications; however, this allows the developer to have Android or iOS expertise, which is rarely the case.

On other hand, for C# developers interested in developing mobile applications, Xamarin is an obvious alternative. Xamarin apps often provide a satisfactory experience for customers, developers, and users in small-term projects.

Written code is difficult to adapt to native mobile applications or other cross-platform frameworks. As a result, once selected, Xamarin must be used for all project functionality.

Overview of Xamarin- Cross-Platform App Development
Overview of Xamarin

Why use Xamarin?

Xamarin – Forms will accept your Xamarin. Native abilities even more, but there are moments when it makes more sense than others.

Using Xamarin to create mobile applications allows programming more powerful and cost-effective while retaining all native app functionality. However, this is not a one-size-fits-all solution.

In several instances, we’ve discovered Xamarin to be a successful tool that significantly reduces both creation and maintenance costs without sacrificing efficiency.

As a result, we believe it has the potential to be a game-changer for many.

Nonetheless, Android and iOS continue to dominate the mobile industry, and you must balance the benefits and drawbacks of native vs. cross-platform growth while deciding on the quickest, simplest, and most effective way to create your solution.

Pros & Cons of Xamarin

Pros

  • High Performance
  • Continuous Developers Support
  • Flexible with C#, F#, and . NET.
  • Quick GUI Prototyping
  • Rapid Mobile App Development (RMAD)
  • Easy Code Maintenance
  • Code Reusability
  • Cost-Effective

Cons

  • Small Community
  • Larger app size
  • Limited access to Open Source Libraries
  • Delayed SDK and API support

Folding Up!

Consider using Flutter or React Native if you are starting from scratch and want to ship a POC (Proof of Concept) or MVP (Minimum Viable Product) as soon as possible. However, be prepared to face technological limitations and still be a few steps behind the market, or rewrite mobile apps using native technologies.

If you already have native mobile apps or want to get the most out of native mobile platforms, consider using the platform according to your choice and requirement, which takes almost no effort from the Android developers but can save a significant amount of time on the iOS side. In the worst-case scenario, you actually reimplement the failed shared element in Swift, with no obligations.

When it comes to the time and expense of developing mobile applications, none of the cross-platform systems have an official statistic. However, if we consider the effort required to create two different native mobile applications to be 100%, any of the solutions outlined in this article can save up to 30% of your team’s time consumption while depending on the complexity of your project.

Top 10 Mobile App Development Trends to Watch Out for in 2021

The mobile app development trends are evolving at a rapid speed every single day, there is no turning back in this industry. Every day there is a new trend in technology. Everything that took place in technology is beyond even the wildest delusions. In some years, smartphones have taken a very important position in our lives, and that’s the reason why mobile app development businesses are touching the heights of success based on the efficient services provided by the hired top app development companies.

You will be astonished to know that the Mobile App Market Revenue will Reach $693 Billion. Ain’t that amazing?

Since the Pandemic of Covid-19 took place in 2019, every business or organization is striving to reach their audience on their phone.

To better support their customers, mobile app resellers must keep up with new trends. Content creators and developers who want to take their products to the next stage with mobile production are in the same boat.

With the radical growth in competition, you need to make your mobile app development game stronger. To make it strong, you need to keep yourself updated with the top mobile app development trends in 2021.

Let’s dive in!

Table of Content

Internet of Things (IoT) App Integration

People’s daily life is now dependant on the Internet. If we believe the internet cannot regulate our bedroom, house, kitchen, we should be aware of the Internet of Things (IoT). The Internet of Things (IoT) is booming, and people are quite enthusiastic about it. 

It’s essential in a variety of fields, smart home protection systems, including wireless appliances, wearable health monitors, auto farming equipment, smart factory equipment, wireless inventory trackers, and biometric Cyber Security scanners, among others.

People are growing faster to using technology to bring improvement in their life. Even brands like Google and Amazon have fully utilized this technology to strengthen the competition by introducing “Echo” and “Google Home Voice Controller” respectively.

Internet of Things

Future Trends of IoT:

  • Smart Cities and Smart Home
  • AI-powered IoT Devices
  • AI-powered Filters for Instagram and Snapchat
  • IoT in Healthcare

Artificial Intelligence & Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) have already begun to appear in mobile apps and laptops. Voice Search, Chatbots, Face Unlock, and other similar examples may have caught our attention. Face App, Instagram Filter, Prisma, and other AI-powered photo filtering apps have brought AI to new heights.

Modern search engines, virtual assistant solutions, marketplaces, business automation, and user preference identification are all now widely come in use of mobile economy. Indeed, the integration of AI and ML solutions into mobile is a factor that has aided and will continue to aid the mobile segment’s performance.

Artificial intelligence can make apps smarter and, as a result, boost overall efficiency.
From the backend creation phase to the frontend user interface, AI will shift the way apps are developed in 2021,

Camila Queiroz Big Smile GIF - CamilaQueiroz Camila BigSmile GIFs
Source: https://tenor.com/view/camila-queiroz-camila-big-smile-instagram-filter-face-warp-gif-17789806

Future Trends of AI of ML:

  • Image recognition, Tagging, and Classification
  • Predictive Maintenance
  • Object Identification, Detection, Tracking, and Classification
  • Content Distribution on Social Media
  • Automated geophysical detection
  • Commentary Prediction

5G Mobile Internet Network

We all know what is the current situation where 4G is leading over the world. Now just imagine, what will happen when everyone gets an introduction to 5G technology? By 2025, the number of 5G connections worldwide will reach 1.1 billion. The prediction says that 5G will alter the way to create an app.

The speed and reliability of the process will greatly improve. In reality, 5G is project to reduce latency by a factor of ten while still increasing network reliability and traffic capacity. Depending on the mobile network provider, 5G can be up to 100 times faster than 4G.

The adoption of 5G would improve the accessibility of mobile applications in the long run. This will allow app developers to add new features without compromising the app’s efficiency.

Future Trends of 5G Network:

  • Cloud Computing
  • Reduced inequality
  • More Jobs
  • Fully-Automatic/ Driverless Vehicles

Virtual Reality (VR) & Augmented Reality (AR)

There was a time where everyone Drooled over ‘Pokemon Go’. Although it was a temporary trend that came like a wave in everyone’s life and went. But the thing is, VR and AR are here to stay.

AR and VR technology are the most common mobile app development trends, that come in use to prepare and improve high-quality gaming apps; these are actively chosen for a variety of other applications.

AR is already coming in use for many technological behemoths such as Apple and Google to develop a slew of new applications. Google, for example, is about to launch a new AR feature for Google Maps that will provide people with real-time directions from their camera phones.

Tech experts say that in 2021, AR integration in the mobile app development trend will become a necessity. It will shape the mobile industry in a way that the mobile industry will offer a seamless experience for every user.

Many AR-dependant app ideas will develop into fully functional mobile applications. This would support industries such as tourism, healthcare, interior designing, education, real estate, e-commerce, and so on.

For content developers, AR adaptation is a top app creation trend. You can use this technology to be innovative filters using AR for Instagram and Snapchat.

Future of AR & VR:

  • Virtual Training Simulation
  • Instagram and Snapchat Filters
  • AR-based Destination Navigator
  • AR & VR Based Visual Learning
  • Live Music Concerts and Festivals

Creating App for Foldable

With the release of Samsung’s foldable OLED display, operating systems are preparing to use this technology to transform mobile experiences. Google officially declared foldable support on Android phones in 2018 by using its ‘screen continuity’ API.

According to Samsung, hundreds of top Android apps including Amazon Prime Video, Facebook, Twitter, Spotify, VSCO, and Microsoft Office, have been optimized for the Galaxy Fold.

‘Foldable Phone’ became a buzzword in the year 2020. Since this is trending, you should start scheduling your mobile app development strategy so that it runs smoothly on foldable devices — a daunting mobile app development trend in 2021.

Video streaming and gaming applications can gain the most from foldable devices by simply increasing the size of their screens – or by using the extra spoace to provide additional details and controls.

Creating App for foldable

Smart Watch / Wearable App Integration

Wearables have already created quite a hype among consumers. They are commercially available in the form of smartwatches, display devices (Google Glass), smart jewelry, body sensors, and so on. We should expect wearable applications to become an integral part of our daily lives as technology advances.

Apple recently revealed its WatchOS update at the WWDC meeting. Apple Watch applications will no longer require to use a compatible iOS app and will have their own App Store. This clearly indicates the emergence of wearable technology, which will be one of the most significant mobile app development developments in 2021.

With applications that run independently of the iPhone, Apple has elevated the Apple Watch to the status of a standalone unit that consumers can use for their digital needs.

In other words, Application developers and companies should prepare applications that offer an outstanding digital experience to Apple Watch customers, giving them a distinct advantage over those that do not.

These wearables can track and evaluate body movements, heartbeats, steps, body temperature, and other parameters. In 2021, we will see increased demand for wearable app growth.

Future Trends of Wearables:

  • Virtual Assistant in Lenses
  • Virtual Keyboards

Mobile Wallet App

Given the pervasiveness of smartphones and consumers’ desire to move to smartwatches. Mobile wallets such as Apple Pay and Google Wallet would undoubtedly push purchases through 2021. As a result, demand for mobile wallet apps (a key mobile app growth trend in 2021) will increase over the next year.

Mobile wallets are coming in use by major brands such as Samsung, Apple, and Google. These major brands provide their users with a safe and easy forum for money transfers and bill payments.

By integrating popular payment gateways with mobile wallets, the payment process becomes rapid and smoother.

Mobile wallets like Google Pay, PhonePe, Amazon Pay, Paytm, and others have grown in popularity. Since the market has not yet reached saturation, there is still room for growth in the future.

Mobile Wallet App
Mobile Wallets

Future Trends of Mobile Wallets:

  • Audio Based Wallet
  • Near-field communication-based payments
  • Radio-frequency identification payments

Enterprise Mobile App

Enterprise Mobile apps created by specific organizations for their employees to carry out tasks and functions necessary for the organization’s operation. Creating enterprise mobile applications is becoming a major trend all over the world. According to some statistics, businesses make more money when their workers have access to corporate mobile applications.

Enterprise mobile applications boost internal connectivity within organizations, as well as employee satisfaction and productivity. In 2021, we will see a large number of businesses requesting the creation of an enterprise mobile app for their business.

Blockchain Technology

Not everybody is aware of blockchain technology. This technology stores information in such a way that changing or hacking the device is extremely difficult or impossible. We’ve seen it in the form of cryptocurrency and smart contracts.

If Bitcoin introduced us to cryptocurrency, Ethereum demonstrated the true potential of Blockchain. Another example of Blockchain is decentralized applications. Dapps do not need a middleman to manage their data. It has the ability to link users and providers directly. As a result, no one else can access the data.

Dapps are now available in a wide range of sectors, including healthcare, banking, and trading. Dapps will explore other markets in 2021, indicating that the blockchain technology revolution is just around the corner.

Marshall Hayner Proton Chain GIF - MarshallHayner ProtonChain MetalPay GIFs
Source: https://tenor.com/view/marshall-hayner-proton-chain-metal-pay-first-blockchain-fbb-gif-20560873

Future Trends of Blockchain Technology:

  • Robotics
  • In Anti-Piracy
  • Secure Public Elections
  • Blockchain as a Service(BaaS)

Geolocation Based App

Geolocation mobile app creation is already a common trend that will only grow in the coming years. It enables mobile applications to provide consumers with a highly customized experience.

Thus, apps that capture user geolocation can include location-based services, better marketing strategies, and so on. It also aids in the analysis of usage trends and gaining insight into user behavior and place.

Geo-location Based App

Future Trends if Geolocation Based App:

  • AR in astronomy or geography
  • Better Suggestions
  • Personalized Recommendations

Wrapping Up!

There are already a plethora of smartphone applications available on Google Play, Apple App Store, Windows Store, and Amazon App Store. With all of these mobile app development trends, the mobile app market will continue to grow rapidly.

Thus, in order to stand out in the increasingly competitive mobile app development market, business leaders must keep up to date on the latest developments and technologies. The evolution of mobile apps will be driven by evolving mobile app development technologies, rising backend architectures, and microservices, as well as new hardware capabilities. Also , when you develop app for any purpose, make sure that your Mobile app is secure and safe. It is necessary!

It doesn’t matter which trend you go with or which platform you choose to develop your application on (iOS Mobile App or Android Mobile App). All the Mobile app trend mentioned above will give a boom to your application. Just make sure that whatever you create is best, unique, and giving a solution to any problem.

6 Mobile Application Security Tips to Improve Safety of device

Article Summary: This article on Mobile Application security tips will cover all the points that will help you keep your mobile app safe from any cyber attack. Also, it will help you in future if you look forward to develop other apps too.

We are living in an era where the smartphone has become a basic necessity for every person. Our lives are totally dependent on it. It provides our every basic need like texting, calling, our medium to search any question at any moment, track our fitness, shop, work remotely, and many more. It has basically improved our lives.

But, where the good comes, obstacles come hand-in-hand with it. The way technology is bringing an improvement in everyone’s life, threatening to disturb that environment comes with it by the name of “Cyber Attack”.

Since the pandemic of Covid-19 took over the world in 2019, with the increase in usage of the various mobile applications; a high increase in cyber-attacks took place since then.
Important Fact:
Large businesses are still risking jeopardy of their application, their personal systems, reputation, and their customer’s personal information by applying highly efficient security. Cyber attackers use COVID-19 as a bait to imitate brands and confuse employees and consumers; an increase in phishing attacks, ransomware attacks, and Malspams.

But not everyone is a cybersecurity expert. Thus, you are the one who will have to take precautions for your own safety. You can make your Mobile App secure using these tips.

Let’s get going!

How to Secure Your Mobile App?

The software code itself like the business logic on the back end network and the client-side, APIs funneling data, databases, the computer, and its operating system, and the user all contribute to the success of a mobile app. Each one contributes to the overall protection of the app.

In a crowded, creative, & competitive market, offering robust security may be a huge differentiator for businesses with mobile apps. Here are a few things to think about when it comes to mobile app protection, as well as which experts can help you secure your mobile assets from all sides.

#1 Secure the Code

Mobile software protection, like any other software project, must be prioritized from the start. Native apps, on the other hand, are distinct from web applications, which store data and software on a server and use the client-side (or browser) as a user interface. However, once you download a native app, the code remains on the phone, making it more available to anyone with malicious intent.

Many bugs can are visible in an app’s source code, so companies don’t invest their security budgets there. While network and data protection components are essential parts of the overall security image, the app’s security must come first. Vulnerabilities take place because of developer error, a failure to test the code, or a hacker specifically targeting your app.

Tips time:

  • Encryption is your way to go. Your code should be secure. Minification and Obfuscation are the best and most common measures for encryption. You better stick with an algorithm that is quite powerful and comes with API encryption.
  • It is better to keep in mind that runtime memory, filesize, data & battery usage, and performance while adding security to an app.
  • Make sure that the Apps are tested and approved.

#2 Put Identification, Authorization, and Authentication

Authentication and authorization technology, like APIs, allows users to prove their identity to an app, adding another layer of protection to the login process. It helps in validating them before sharing the information.

Tips time:

  • If you’re using a third-party API to use some information, and ensure that you access the essential parts only with thorough security across the app.
  • For encrypted data exchange, JSON web tokens are lightweight and perfect for mobile protection.
  • For managing safe connections inside the app, OAuth2 is the norm. If you want to use two-factor authentication, you must install it inside the app’s secure layer. It will allow granting permission only to those who fulfill the necessary credentials and will use the app for the stated purpose.
  • OpenID Connect is a mobile-only federation protocol. It uses an ID token to allow users to reuse their credentials across several domains, eliminating the need to register and sign in each time.

#3 Have a Tough API Security Strategy     

Since mobile development is so reliant on APIs, securing mobile apps begins with securing their APIs. APIs enable data to flow between applications, the cloud, and a variety of users. Here, each of them will have access to data.

Since APIs are the primary conduits for content, functionality, and data, ensuring proper API protection is critical.

Tip Time:

  • A well-built API security stack you should measure and keep strong is Authentication, authorization, and identification.

#4 Regularly Test Your App

During the creation of an app, it is normally necessary to test the code. Since applications are developing with rapid speed, important points are not visible to reduce the development time.

If the software is a native, hybrid, or web app, experts recommend checking for protection in addition to accessibility and usability. You’ll be able to identify bugs in the code and fix them before releasing your software.

Tips Time:

  • Conduct penetration testing to identify any potential weaknesses in the software.
  • You can look into the app’s authorization, data protection, and other issues.
  • Use emulators to test the app’s output in various environments to determine the app’s vulnerability and whether or not the data will be stable.

#5 Do not Follow BYOD (Bring Your Own Device) Policy

Allowing workers to use their own devices will expose the network to hacking vulnerabilities, making it more difficult for the IT department to control access to data on backend systems. Mobile device management (MDM) software, such as Airwatch and MobileIron, is often a worthwhile investment.

These will provide workers with the ease of working on the go while still providing businesses with security assurance.

Tips Time:

  • Use a virtual private network (VPN) to build a protected link that is less vulnerable to hackers listening in over an insecure network.
  • Make your phone risk-aware, such that apps attempting to perform such transactions stays away. Apps can detect and block such transactions from rooted devices. Alternatively, it enables remote erase capabilities to wipe sensitive data from missing mobile devices that belong to someone who is no longer an employee by any organisation.
  • Secure the device with a firewall, anti-spam, add antivirus, and block any unauthorized device that comes into your network.

#6 Take Precautions to Secure back end and Network Connections

To serve data from the backend, the app makes use of cloud servers as well as API servers. As a result, this is where the majority of data processing occurs, protecting this portion of the mobile app is important. Control should be in a way that people who do not have authority can not access vulnerabilities.

Before using APIs, make sure they are verified and validated, and that proper authentication is in effect for those who are accessing the APIs.

Tips Time:

  • Create encrypted containers for storing your data securely using the Containerization method
  • Keep a regular check on the network and do vulnerability assessments to ensure that your data is protected.
  • Encrypted connections and Database Encryption with VPN (Virtual Private Network), TLS (Transport Layer Protection), and SSL (Secure Sockets Layer) will add an extra security layer to protect your data.

In The End…

It’s important to protect the app before releasing it to the public. Before incorporating an API into the app, read the app store’s instructions carefully. Understand what the potential major app problems are, and understand how the API operates.

When preparing, define the UI and UX, and ensure that the security aspects have been validated. Secure your app’s username, networks, and backend. Are you looking to build an astonishing mobile application? You can hire our expert Android Developer or iOS Developer Based on application’s need.

Why is Django considered a perfect choice for software development in 2021?

Hello! Meet Django.

In this era, Django is leading because it has become every business’s need. But why is Django Development so popular?

“Django is an open-source high-level Python framework that serves the primary purpose of enabling super-fast development of backend applications. “

No doubt there are tons of web frameworks available out there for backend development, each designed to fill the space of specific requirements. Django simply fulfills all of those needs to the very extent and thus, it is preferred by a large base of companies and businesses like Spotify, Instagram, YouTube, The Washington Post, and many more.

Fun Fact: Django web framework was named after very popular jazz guitarist Django Reinhardt.

But, Why is Django considered the best choice for software development in 2021?

Since the Pandemic of Covid-19 took place in 2019, the world of software developers took a huge turn in a way that increased the demand for developers in every niche. Be it healthcare, e-commerce, education, technology, cybersecurity, and many more, every business in the world started working online. Because of that, every business came in need to develop their business online and with that, the need for developers increased.

No doubt, Covid-19 changed the whole scenario of living, many people became unemployed, the economy took a huge leap, but at the same time, the demand for Django Software Developers increased.

Table of Content:

Without wasting time let’s roll on with what Django is.

What is Django?

Django is just an open-source web framework that supports high-level python programming. It speeds up the development of web applications that are being built on Python Language.

Django helps in “Rapid Development, Pragmatic djangoProjectCarriedand Clean Design”. This is deployed on a web server that helps developers produce a web front-end that is secure, feature-rich, fast, and scalable. Starting from scratch, which involves designing the backend, APIs, javascript, and sitemaps, is a more effective way to create a web app than using the Django web framework.

Web developers can concentrate on developing a specific application using the Django web platform, which provides more flexibility than any other web development tool.

Django at a glance: Setup

Django was created to make common Django Development Services tasks quick and simple since it was designed in a fast-paced newsroom environment. Here’s an overview that will help you set up your Django Project Structure.

a. Installations

Before we start with Django, it is necessary to download Python.

For Windows Users: You can find Download Python for Windows and install it for free on your PC.

For Linux: Open a console and write the following command:

sudo apt-get install python 3.9.4

Or, if you don’t know the latest version of Python, then you can add the following command in the console first and then write the code given above.

python3 –versions

b. Install Django and Set up Virtual Environment

Setting up a virtual environment helps in separating Django/Python setup depending on the project. It helps one make the project easy to manage the requirements of the project.

Go to the directory, open cmd in that, and run this command you want to keep your project

python3 -m venv myenv

Here, instead of myvenv you can write the choice of a name you want

Activating venv

On linux

source myenv/bin/activate

Keep in mind to have a virtualenv activated when you are trying to install dependencies.

c. Starting with Django

When you start with Django, make sure that you have pip, a software used to download python dependencies.

pip install –upgrade pip

The run,

pip install django

Important Note: Install the code editor. This is where you will write your code.

D. In Django

Now, in myvenv folder, create a project

django-admin startproject mysite.

This code will create a Django project structure for you. Here, don’t forget the using (.) after your project name. An App project can have many apps. To create Apps, write:

python manage.py startapp project

This will create a project directory that will contain a large number of files. Add Projects into the installed apps such that Django can know that it is existing.

Creating a Project model using models.py

The following code will store all the posts in a project. This is what we will use to structure the data properly in the database.

Create tables for your project model using

python manage.py makemigrations

python manage.py migrate

Django URLs

The Universal Resource Locator (URL) is used to provide the addresses of internet resources such as images, websites, and so on. This file contains all of our web application’s URLs. This file contains a list of all the endpoints that our website would have.

Templates

Make a template directory to keep all of your models in.

Views

Models are queried for details, which are then passed on to templates.

It’s the place where we write logic.

Important:

Create Database for Project

python manage.py migrate

To check how your project is working, you can start the webserver and take a look by writing the following code:

python manage.py runserver

This is just an overview of what serves Django at Glance.

Why Should We Use Django Framework?

The argument is no longer whether or not to use a web framework, but rather use Django over the other web frameworks or not?

This is a good question because Django does not serve solution to every puposes. However, there are a few issues that it does resolve.

Use of Django Framework
Use of Django Framework

#1 Simple Syntax

Django’s syntax is simple and straightforward due to the fact that it is designed in Python. It closely resembles the English language. Anyone who is familiar with Python should have no trouble picking it up.

The main goal of Django is to simplify work for developers. To do that, the Django framework uses The principle of rapid development where the developer can perform more than one iterations at a time without starting the schedule from scratch. Also, it uses DRY (Don’t Repeat Yourself) Philosophy where developers can reuse the old code and focus on the new code.

#2 An Admin Interface

Django comes with a rich UI that you can use to run Functions on your data without having to write any code.

You can handle the access to the admin interface where you can allow and restrict their permissions to the database models that you can have read/write access to.

#3 HTTP Libraries

Django makes creating REST APIs a breeze. They have outstanding HTTP requests and response repositories.

#4 Handling Security and Vulnerabilities

According to Django’s security policy, the development team aims to achieve effective monitoring and keeping transparency of security-related issues.

For making Django more secure SQL injections, Cross-site scripting, and clickjacking are all dealt with right away.

Furthermore, Django is very swift to release new security fixes and to alert the community when new vulnerabilities are found.

#5 MVC Architecture

Django uses the Model-View-Controller architecture, but it tends to use a Model-Template-View (MTV) approach to execute it.

It is because a Django view is actually a controller that controls how data is accessed, where the “view” in MVC refers to a prototype of Django that controls the displaying of data to the user. The “model” component of MVC is identical.

This is how MVC architecture works in Django:

Model <__> Model

View <__> Template

Controller <__> View

#6 Suits Web App Projects

Django gives you the ability to tackle projects of any size and volume, doesn’t matter if it is a small website or a high-load web app. Django is fully loaded with scalability and extras, so you can make your web app efficient to handle heavy volume traffic and large information.

Moreover, it is cross-platform and it works with most of the databases that allows using multiple databases at the same time.

#7 Well-established

Django has been tried and true over time. It has a large, welcoming community that can be reached through a variety of forums, dedicated websites, and platforms. It’s simple to get support with a troublesome feature in the code, as well as to find developers if your company wants to use Django for its next project.

Django had the finest documentation of any open-source platform. And it’s all well-maintained, with new features and improvements added on a regular basis, so you can easily adjust to changes.

#8 An Active Community

The Django Community is quite large. It is well-documented and its community contributes on a regular basis in this era.

This decreases the likelihood of being stuck in a dilemma you don’t comprehend. Any blockers can typically be disabled with a fast Google search.

Top Features of Django Framework

Below, we are going to discuss the best features of Django in Detail.

Features of Django
Features of Django

#1 Rapid Development

We won’t need expert backend expertise to build a fully functioning website. We also won’t make separate server files for developing the database and linking it to the server, as well as a separate file for transmitting data to and from the server.

Django itself handles one work with a lot of other tasks. Here, you won’t need an extra file of every task. Thus, Django supports cutting-edge Rapid Development.

#2 Highly Scalable

A good number of MNC’s in the world use Django as a base web development framework. Most of the large companies choose Django because, without any errors or defects, you can use it easily.

Our technology’s scalability refers to the extent or level to which it can be implemented. Larger websites, such as Instagram, have millions of active monthly users who produce massive quantities of data (in TB every day). This massive application is built on Django.

Django is suitable for anyone who wants to create error-free websites that can scale to larger environments.

#3 SEO Optimized

This is the most special feature of Django because of which it gives an edge over other web development frameworks. SEO stands for Search Engine Optimization which means that by adding your website to search engines in such a way by targeting keywords and optimizing it, your website can come in top ranking.

As we all know, search engines employ algorithms that don’t always work well for web developers. Since you are designing your own website in a human-readable format, you must add it to the server in URL format so that it can be recognized by search engines.

Django clarifies this principle by maintaining the site via URLs rather than IP addresses on the server, making it simple for SEO engineers to connect the site to the server whereas the web developer does not have to translate the URL into numeric code.

#4 Versatile Nature

Django is very versatile in nature. Django’s MVT and project structure are very minimal. Allowing the files, on the other hand, offers us a very strong base that can come into use to build any application of our choosing.

Achieve all this by complying with industry requirements and integrating with nearly all available technologies.

#5 Impressive Documentation

One of the most compelling reasons to begin studying Django is this. When compared to other open source technologies, Django has the best documentation available in the market.

For any creator, better documentation of any technology is like getting a well-established library. There, you can easily search for any feature you desire while only wasting time on the search.

Documentation allows developers who aren’t the makers to make the most of the technology.

#6 Python Web-Framework

Python is one of the main reasons why people started learning Django. It is the tool that can solve your problems and make your every operation efficient in its own ways. It is very easy to use and simple.

A fact to be told, Python framework is the most popular language in the market right now because of these two reasons mentioned above.

Did you know? Python for a startup is the best choice in 2021 to make.

Python is the most user-friendly programming language available. This language can be used for almost anything, including Django web development, Artificial Intelligence, Machine Learning, Data Science, etc.

#7 Tested in Detail

“Django has been around for over a decade and is still a common technology that is outperforming frameworks like Laravel (PHP).”

The number of web developers who use Django is steadily increasing. As a result, Django is a crowd-tested technology. Since Django Web Framework has been around for so long, many bugs and errors have been addressed. This is the perfect time to learn about this technology.

#8 Highly Secure

Django is highly usable for its super secure framework. To check the security, you can take any website that is very popular, more users, and possess huge traffic. Django is safe because it removes loopholes that the backend developer. .

Django is designed by the best web developers keeping the main problems in front and with that, the main aim was to get a rapid development speed.

Use Cases of Django Framework

People who don’t know anything about Django believe it’s just a content management system. In fact, it’s a piece of software that allows you to create and run web applications.

Here’s a fun fact for you: Django is designed to power a web application for the Lawrence Journal-World, a newspaper publisher.

Understanding the framework’s multifaceted existence begins with its name. The Django system named after jazz guitarist Django Reinhardt, who despite having two fingers paralyzed due to an accident, was able to play dazzling runs on his guitar. Similarly, the Django application can handle a wide range of tasks. Django comes in use to make the following things:

  • Client Relationship Management (CRM)
  • Communication Platforms
  • Content Management Systems (CMS) for commercial and internal use
  • Document Administration Platforms
  • Booking Engines

Other than this, Django is great for:

  • Email Solutions
  • Verification Systems
  • Algorithm-based generators
  • Data Analysis Solutions
  • Machine Learning
  • Filtering systems with highly advanced parameters

Advantages & Disadvantages of Django 

Django: Advantages & Disadvantages
Django: Advantages & Disadvantages

Advantages of Django

There is a reason why Django is Popular and Highly used. Have a look below why it is so popular. 

#1 BuiltIn Admin Panel 

The work of the Admin panel is to aid in the management of your application. A Django admin panel is automatically created from Python code, while manually creating an admin panel will take a long time and be pointless.

Thanks to the third-party applications that create room for customization in the Django admin panel. Moreover, Django gives you the allowance to enhance the interface with third-party wrappers.

#2 Batteries Included

Django is around because it comes with all of the required batteries. It’s part of Django’s convention over configuration paradigm, and it lets you use solutions built by world-class experts. Django batteries cover a wide range of subjects, including:

  • auth package for Authentication
  • admin package for Admin interfacing
  • Sessions package for Sessions Management
  • With sitemaps package, Generate Google Sitemap XML
  • Postgres Packages Postgres special features
  • Messages packages for managing temporary messages

#3 Community

One of the best aspects of Django is its community; they are welcoming and constantly working to make the system more beginner-friendly while still introducing new features.

The documentation for Django is quite extensive and can come in use as a stand-alone guide to help you understand different features and use it as a primary source of knowledge.

#4 Good For SEO

Python is popular because of its human-readable code, which is beneficial if you want your website to appear high in search results. With Django, you can build readable website URLs and links by incorporating the most appropriate keywords and SEO best practices.

After all, a domain name is nothing other than a human-readable string that is corresponding to a computer-friendly line of numbers known as an IP Address. People concentrate on having the right domain name, but they sometimes forget the URL slug—Django may help with that.

#5 Libraries

Django consists of many libraries for solving common tasks.

When creating any project, Django allows developers to use all libraries. Django-allauth is a collection of Django applications for account management, authentication, registration, and third-party account authentication, as well as a Django CMS specifically designed to manage website content, and the Django REST framework is a standard library for developing application programming interfaces (APIs).

#6 ORM

Django is well-known for its object-relational mapper, which makes it easier for programmers to communicate with databases. An ORM (Object-Relational Mapper) is a library that converts data from databases like PostgreSQL and MySQL into objects that can be used in application code.

Disadvantages Django

Not everything in the world is a silver bullet. If your project is based on these points mentioned below, then here are reasons why you shouldn’t use Django.

Have a look here!

#1 Building a Simple App

If you’re building an app that doesn’t need any complicated actions then using Django is not a very smart idea.

Let’s take an example, you’re looking forward to designing a simple chat, for that you won’t need high-level actions in development. As a result, Django can be a high-level framework for creating a small and easy application. Instead, you can use Flask, a microservice service framework that is perfect for the creation of a simple application.

#2 Monolithic

Internal Django modules like forms and ORM are difficult to replace, and changing the internal structure can take a lot of work from your developers.

Django server and framework look for information in these files. It is because the framework has a way known as “The Django Way” to perform various actions. If you don’t follow these rules, you may not be able to deploy anything with the help of Django.

Django Projects Carried Out by LogicRays Technologies

#1 Wagtail Development

In this Django Project, our expert Django Developers at LogicRays Technologies performed the Setup of the entire CMS, Built custom pages in CMS, Modified the previously provided pages in CMS based on the requirements.

wagtail
wagtail

#2 Saleor

Saleor Project is an E-commerce platform based on Python/Django. In this, our expert Django Developers created Dashboard(admin panel) and storefront(frontend) and set them up in Python and React respectively.

This project works similar to any Magento Project and can be customized based on the client’s requirements.

saleor
saleor

#3 Hellmuth’s Poker Management System

Our Django developers at LogicRays Technologies have developed a whole Management System for Poker. Here, the user/admin will control the entire tournament as well as the transactions that occur within each game.

Hellmuth's
Hellmuth’s

Functionalities:

– Scraping of Tournament details takes place from emails using Gmail Webhook & Performed Python RegEx on it.

– These tournament details are saved to the database according to the table.

– For Tournament, two main pages are created: 

1. Pending Tournament 

2. Tournament

This is just an overview of the types of projects Django Hire Python Developers at LogicRays Technologies carries out. We have carried out some projects in Django that will overwhelm you to your very core. .

Let’s Wrap Up!

Now you will be having a clear perspective of exactly what Django is and what is its use. Django now comes under some of the best choices for software development in 2021 because of these points mentioned in this article.

We hope you enjoyed this article and got the answers you were looking for. If you want to know more about Python, do read our article on Why Python is the Perfect Fit for Big Data? and Python Functional Tutorial to become Pro Developer in 2021

Node.js vs. Python: Which is Benefitting Technology in 2021 for Backend Development

Article Overview:- Node.js vs Python: Which Backend to choose in 2021. This is a detailed comparison between two powerful programming languages for backend development that will give you a clear idea about their advantages, disadvantages, similarities, and will help you decide which technology to choose that will suit your development needs.

Python and Node.js are two very popular and powerful languages that come with very different real-world applications and considered the best programming languages because of the ease it provides you.

Node.js vs Python Astonishing Fact

Did you know? Node.js is a powerful backend where high traffic websites like Netflix, Paypal, LinkedIn, and Groupon also use it. But, Python is no less popular in comparison with Node.js. Companies such as Instagram, Amazon, Facebook, and Spotify use Python to code.

Uses of Nodejs & Python

Everything depends on the choice of backend technology you are selecting for your project’s use case is quite imperative. Your choice of backend will determine scalability, resource consumption, performance, ease of deployment, and the success rate of your project.

You know, Node.js and Python highly come into use by server-side technologies. Both programming languages came into the market in very different timelines. Python has been in the market since 1991, where Node.js entered the market in 2009. Python was designed as a side of server programming language that can be deployed in both web applications and mobile where Node.js was introduced as a JavaScript runtime environment to use on the side of the server.

We all know that it’s quite amazing!

For the start, it is normal if you go through confusion between both backends, making a perfect choice for your project can be a very flinty task but don’t worry, we all went through the same phase.

So, before we start with what is Node js and Python, the difference between them, advantages, disadvantages, similarities, and their use cases, you need to set the criteria of your project for choosing between Node js and Python.

Here, we will cover everything that you need to know about Node js and Python. So, why wait right?

Let’s roll!

Table of Content

Selection Criteria for Deciding Between Node.js and Python

When you’re looking forward to choosing a perfect backend language for the project, it is the best option to establish the expectations right away. As tech experts for our client, we focus on the following criteria as follows:

Selection Criteria for deciding Nodejs vs Python
Criteria

#1 What type of Project are you dealing with?

The type of project is based on where your project ranges. You have to decide whether your project falls in Computing Apps, Business Apps, Saas, Website, Data-driven software, Social Media App, Messenger App, Gaming App, or any other app.

Your Application or Website will establish the intensity and the nature of backend operation.

#2 What type of Product are you Expecting to offer?

In this, you’ll have to analyze the aim of the product you’re building. You have to know whether your app is a data-heavy app or an interface-focused app? Know whether the functionality of the product is interactive or static?

In this, you will have to analyze your competitor’s strengths and weaknesses, observe the market, and what your users expect.

#3 What will be the Project’s Reach?

When you choose the backend stack for your project, it is very important to understand which user-base you’ll be dealing with – National, Local, or International. More precisely the project’s geographical reach is, more carefully you’ll have to choose architecture, framework, and tech solutions.

#4 What Resources do you possess currently?

Before you start the development of your project, you should know the skill set your team possesses. What technology they have learned and how powerful they are in it? What extra skill sets you’ll require for the development of the Application.

#5 What is the current situation in the market?

Since Covid-19 took over the world, every field in the market raises this question before starting anything. Not only this, but you should know what is the current situation so you can predict the value that your project will serve in the market when it is released.

#6 What are your Performance criteria?

Ideally, you wish for a High-speed, highly-secure, responsive and interactive backend. But no backend development tool is perfect. That’s the fact.

What you can do is set your priorities according to your project needs and choose a tool that focuses on those characteristics.

Now, let’s dig deep and analyze Node.js vs Python in-depth.

Overview of Python

Python is a high-level, interactive interpreted, object-oriented programming. It is designed in such a way that is highly readable. High-level built-in data structures that are merged with dynamic binding and dynamic typing, which makes it very attractive for developing any application faster.

It is simple and easy to learn syntax readability. the modules, libraries, packages encourage code reuse and program modularity. Often, programmers fall in love with python because it increases your productivity and consumes less time to develop code.

Features of Python

Python is called a dynamically typed language because of the ease it provides with coding. It comes with many awesome features that will astonish you to your very core. Those features are:

#1 Easy to code:

Python comes under a high-level programming language. It is very easy to learn compared to other languages, be it C, Javascript, C#, Java, etc. It is a developer-friendly language. Who will not work with fewer lines of code instead of writing huge codes.

#2 Object-Oriented Language:

One of the main and most important features of python is; it is object-oriented programming. Being an object-oriented language it supports objects encapsulation, different concepts of classes, etc.

#3 GUI Support:

You can create Graphical User Interface in python using PyQt5, PyQt4, Tk, or wxPython. Out of all four, the most popular and highly used option for a graphical app using python is PyQt5.

#4 Open Source and Free:

It is available for free on its official website. All you have to do is search for the “Download Python” keyword on Google or any search engine of your choice.

Since it is open-source you can access available source codes according to your need.

#5 Python is Portable:

Python Programming is portable. For example, if you have a code you wrote in windows and you wish to run it on another platform like Mac, Linux, or Unix, you will not have to change the whole code for that. You can run that code on any platform.

#6 Interpreted Language:

Python is an Interpreted language because the code in it is executed line by line like C, Java, C++, etc. In this, you don’t have to compile the code. Thus, Python code makes it easier to debug our code. Its source code is translates into bytecode, which is an immediate representation of the code.

#7 Standard Library:

Language comes with a large standard library that offers a useful set of modules and functions so that you’ll not have to write new code every single time. You can directly use the library and save time.

Advantage & Disadvantage of Python
Advantages and Disadvantages of Python

Overview of Node.js

Node.js or Node is an open-source and cross-platform runtime environment for executing Javascript code outside of a browser. We use this Cross-platform runtime environment quite often to build backend services also called API or Application Programming Interface. Node.js is a highly-scalable, data-intensive, and real-time backend service that powers our client application.

Node is easy to start with, it comes in use for prototyping and agile development. It also comes in use for building super fast and highly scalable services such as PayPal, Uber, Netflix, Walmart, and many more.

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Features of Node.js

Features of node.js make it different from other loved programming languages and make it more popular for faster & awesome back end development. Have a look at the awesome Node.js back end development features:

#1 Asynchronous Programming:

Here, event driven IO supports concurrent request handling. Node.js’ APIs are all offbeat. This component specifies that if a Node receives a request for an Input/Output operation, it will perform that task invisibly while planning other solicitations.

#2 Fast Code Execution:

The parser produces an abstract syntax tree when V8 compiles JavaScript code. A syntax tree is a tree representation of JavaScript code’s syntactic structure. Ignition uses this syntax tree, the interpreter, to generate bytecode. TurboFan, the optimizing compiler, eventually converts the bytecode to optimized machine code.

The library of Node. js is quite quick when it comes to executing code. Google Chrome’s V8 JavaScript engine came in use when code was developed.

#3 Highly Scalable and Single-Threaded:

Node.js follows a solitary string model that brings circling of occasion. Node.js follows an event mechanism that can respond by achieving the server very quickly. Since Node.js is non-blocking, all functions (callbacks) go to the event loop, where several threads execute them.

#4 No Buffering:

Applications in Node.js never buff any data. All Applications simply output the data in form of chunks.

Advantage & Disadvantage of Node.js
Advantages and Disadvantages of Node.js

Differences Between Node.js and Python:

#1 Architecture

Architecture is a place to attach to the framework or language with common practice to achieve the desired output. Here, Python follows a common way of implementation known as “CPython” that uses interchangeable code modules. Where Node.js is a single-threaded architecture that handles multiple requests in a single thread.

The difference between the architecture of Node.js vs Python is:

Node. jsPython
Node.js is a runtime environment with asynchronous programming on the server-side. It means that some processes will be running while the input-output functionality is not blocked.
In Node.js, parallel processing can be done such that deploying the application is quick. The event-driven architecture of Node.js allows taking any actions when any event takes place.
Compared to Node.js, Python provides its opposite functionalities. Python is synchronous and supports single threading. In Python, You have to run and finish one whole process.
Although, Python does provide libraries like asyncio to make the code asynchronous, using the async/await syntax. asyncio code is an exact fit for high-level and IO-bound structured network code. Where it also provides high-level APIs to perform network IPC and IO; distribution of tasks via queues; keep control over subprocesses; and many more.
asyncio may be a single time saver for you but they cannot make python asynchronous to the full extent. It may happen that you may not achieve the desired asynchronicity.

Verdict

In this, the heads-up goes to Node.js for having asynchronous architecture. 

#2 Scalability

The scalability of any language makes us clear about how effective the language is during handling huge user traffic and how it can be managed using fewer servers. Scalability is essential in content-heavy applications and those that serve a diverse set of new users through the use of mobile and desktop interfaces.

Node. jsPython
Node.js is single-threaded and has an asynchronous architecture that is totally based on events and non-blocking I/O that is used to make most of the computer and CPU memory.
The asynchronous nature of Node.js makes it more powerful because of its concurrent request execution compared to synchronous/ multi-threaded architecture. In node.js I/O does not block the program execution under I/O heavy workload that helps Node.js application runtime performance all over.
Python being synchronous in nature and supports coroutines. These coroutines can help you achieve asynchronous processing.
Python may not seem scalable in nature but it does come with the tools that can help you achieve the desired scalability. Python also weighs well in terms of code complexity, making complex projects easier to code, whereas Node.JS may pose difficulties due to its asynchronous programming.

#3 Libraries

Libraries gave a new base to the whole scenario of app-development technology in the last few decades. If something has already been developed as a code, there should be no need to recreate it. Instead, you can easily integrate this code from libraries to your code/program at the time of development.

Node. jsPython
Node.js is known for its detailed, well-documented, and comprehensive libraries which are managed by Node Package Manager. NPM is called the largest repository in the world because it provides 3,50,000 packages.
Ain’t that amazing?

In Python, libraries are managed by pip- ‘Pip Install Packages’ is its acronym. Python libraries are well-documented and easy to deploy. But with the new libraries coming up, it is not well documented as older ones- which makes the new libraries less reliable.

#4 Community

A group of active/current users that works with the new technology. In these technologies, current developers are responsible to keep updating the popular libraries, add new features, and run debugging programs.

A good community is one that is managed by a single dedicated organization that works for a particular programming language.

Node. jsPython
Node.js is not as old as python. It’s true whether you believe it or not. You might consider its community to be strong, but you’d be surprised to know that it has a quite active community of Node.js developers with a large follower base.Python being the older language has a larger community. The biggest advantage of having a large community and easy to learn syntax is that; you can find the best developer from any corner of the world. A large community means active participation in every python development requirement and these seats are filled by the developers to bring out one happening solution.

Verdict

Both languages are very popular and are known for the unique ability they possess to make programming easier. Both of them are open-source and free to use.

Here, you need to make the choice of which language’s functionality will suit your project more.

#5 Extensibility

Extensibility refers to the ability of third-party tools to add functionality and perform different functions to an existing software

Let’s take a look at how it will affect Node.js vs Python

Extensibility of Node.jsExtensibility of Python
If you’re using new Node.js, then there is no issue. But, if you’re using an old version of Node.js and you wish to get a smoother front end, it can be achieved by combining Node.js with Babel. For managing the projects, you can use Log.io and for unit-based testing, Jasmin is used. In short, Node.js is very easy and handy.Python can be made easily extensible using Sublime Text to edit codes in Python. For automated testing, the Robot framework is used. Other than this you might be knowing about these popular Node.js Frameworks like Web2Py and Django which can add a hell lot of features in Python, that are out of your imagination.

Verdict

To extend the functionalities of both Node.js and Python, you can use a bunch of external frameworks. Both Node.js vs Python works well with external frameworks.

Node.js vs Python: Use Cases

Node.js vs Python: both areas of applications are quite different in their own ways. Python rules over the world because it provides server-side language, but on the same side, Node.js is a go-to tool for every business.

Let’s Dig a little deeper to understand, Node.js vs Python, which is worth considering for web application development.

Use Cases of Node.js

It is a runtime environment that is an ideal choice for apps that uses a constant connection between server and web application.

Node.js has quite good Use cases like:

Use Cases of Node.js
Use Cases of Node.js

#1 Microservice Architecture

Microservice Architecture is a method of designing a web application in a small community that is divided into separate services, each of which performs a specific purpose. Microservice architecture web application communicates through REST/HTTP protocol with the help of JSON Data Structure.

#2 For Creating SPAs (Single Page Application)

SPAs have become a very common approach today. In SPA the whole page basically fits on one page to offer a desktop app-like experience. Node.js is perfect for building SPA because its asynchronous nature deals with heavy I/O operations.

#3 Chatbots

You might already know that chatbots are already in use on a wide range these days. In fact, it has become a necessity for every single business. NodeJS comes with all the basic functionalities for building chatbots. Node Event API is very helpful for developers because it makes it possible to implement server-side events.

#4 Streaming Web Apps

NodeJS is the best choice for the development of streaming web apps. Node.js comes with a built-in interface for readable and writable streams that can be processed efficiently and monitored perfectly.

#5 Server-Side Applications

Since user behaviour, messages, and unique events of this kind define the flow, Node.js is a server-side application.

Use Cases of Python

Python is an excellent option for website development in businesses. It is a powerful language for applications and websites. It is data-intensive and easy to learn.

Let’s take a look at the use cases of Python:

Python Programming Use Case
Use Cases of Python

#1 Data Analysis

Data Analysis is now reaching heights. It is becoming one of the most important areas of development with applications of Python Programming. Python provides many libraries for Big Data Analysis like NumPy, Pandas, SciPy, and many more to work with data and extract it.

Here or there, Python is the best fit for Big Data.

#2 Web App Development

One of the best uses of Python in Website Development. It is simply the best option and go-to programming language for web applications. Python provides Convenience, security, and scalability on the web app. Python offers a lot of website development frameworks like Flask and Django which are very efficient in their own ways.

In 2021, Python for Startup is the best choice because the ease it provides with web development, gives python a heads up for being a highly chosen back end development framework.

#3 Programming of Web Scraper

Web Scraping for a huge amount of data has become a useful medium for every business for extracting customer information and making a better and smart decision for the future.

#4 Machine Learning & Artificial Intelligence

The most interesting use of Python in Machine Learning & Artificial Intelligence. Machine Learning algorithms are the most important real-life uses of Python. Using the Python programming language, Developers can easily make a program in fewer lines of code with the best output.

#5 Educational Purpose

Since the businesses on large scale have started their development on Python, Python has made its space in schools and universities, as the main subject. It is widely accepted due to its user-friendly programming, plain syntax, extensive tools, and straightforward learning curve. Because python allows for the advancement of both advanced and basic educational programmes.

Final Verdict

Choosing between Node.js and Python can be one flinty job especially when you’re looking forward to developing a fully-functionalized project or product. As you saw, both platforms work best for web development or back-end development.

The features and benefits of both platforms are overwhelming and can confuse you. All you need to keep in mind is that you should keep your choices clear according to your project needs. In the end, the runtime environment that is more feasible and handy should be your first choice. Hopefully, this article will give you a clear perspective about both Node.js and Python, what it is, what are their features, advantages, disadvantages, and use cases. If you need help with analyzing your project, you can contact our team, we will help you analyze your business and suggest to you the best backend tool that will meet your users and your expectations.

Absolutely Easy Python Functional Programming Tutorial to Become a Pro Developer in 2021

Here and there, python is everywhere!

Now, Learning Python Functional Programming is just a scroll down away! All you need to do is sit down and read everything carefully. Practice this and become a pro python developer in 2021.

Informative Fact: Python is now the third most popular programming language in the world, with a usage rate of 12.21% and in February 2020, more than 65,000 developers took Stackoverflow’s annual developer survey. Isn’t that amazing?

So, What is functional programming in Python?

A problem is decomposed into a series of functions in purely Functional programming.

Functions in python are called first-class citizens. Which means that their characteristics match. These first-class functions are handled as if it is a variable. When a first-class variable is passed to another function as a parameter, it can be stored in a data structure or can be returned from functions.

It is considered the opposite side of object-oriented programming language. Object-oriented languages work really well when you have a particularly fixed set of operations. Objects are small capsules that contain some internal state as well as a set of method calls that allow you to alter it, and programs are made up of the correct set of state changes.

The well-known functional programming language also has a Machine learning family including OCaml, Standard ML, etc. Python programs are written in the functional language style which doesn’t avoid all I/O or all assignments; instead of that, they have a functional-looking interface but use non-functional functionality internally.

Here, in Functional Programming in python, a good example you can take is: The implementation of a function will also use local variable assignments, but it will not change global variables or have any other side effects.

It may seem like Functional Languages can be tough to work with, But, why are you instance saying that learning the functional language would be easy?

Ikr! This is not as tough at all; All you have to do is follow every step in this article till the end.

Here, we are going to talk about how you can actually approach the functional programming paradigms in python. Firstly, you need to understand what Pure Functions are.

Let’s roll!!!

Pure Functions

It is just a function that does not have a side effect, and it returns the exact same thing every single time, you give it the same inputs. Thus, every time you call these functions with the same input, it always gives you the same output and it affects nothing else outside of it.

Now, this is a bit theoretical of what pure functions are. But, the easiest way to understand the pure function is to take some examples and to write some. Examples of pure functions are pow(), strlen(), sqrt(), etc.

There are many practical advantages of using functional programming paradigm, that includes the following:

Easy Debugging

Pure functions have very few factors affecting them which allows you to find the bugged section easily. Immutable data makes it easy to find the values set for the variable. 

Modularity

Pure function is easier to reuse the same code in other contexts because functions do not depend on any external state or variable. This function will only complete a single operation at a time to confirm that the same function without importing external code.

Lazy Evaluation

In the functional programming paradigm; only evaluates computations when they are needed. This allows one to reuse results from previously saved runtime and computations.

Parallel Programming Paradigm

Since immutable variables minimize the amount of change within the program, the functional programming paradigm makes it easier to construct parallel programs. Each function just attempts to coordinate with user input, and the program’s state will largely remain the same!

Intensified Readability

Since each function’s action is immutable and separate from the program’s state, functional programs are simple to interpret. As a consequence, you can always guess what each function would do just by looking at its name!

Iterators

An iterator is a form of object that represents a stream of data and it will return each entity one by one. It must have a method called __next__(), which takes no arguments and it will always return the next element of the stream. If the stream does not contain any objects, __next__() should throw the StopIteration exception on the spot. It does not have to be finite; in fact, writing an iterator that generates an infinite stream of data is perfectly rational.

The functional style iter() takes an object and attempts to return an iterator that will contain the object’s contents or items, throwing a TypeError if the object does not really allow iteration. Iteration is supported by several functional data types, the most common of which are lists and dictionaries. If you can obtain an iterator for an object, it is said to be iterable.

Here, You can manually experiment with the iteration interface.

Iteration Interface

Input:

L = [3, 4, 5]
it = iter(L)
it  

it.__next__()

Output:

 3

Iterators can convert into lists or tuples using the list() and tuple() functions. Object functions include:

Input:

L = [3, 4, 5]
iterator = iter(L)
t = tuple(iterator)
t

Output:

>>> L
[3, 4, 5]

The built-in max() and min() will take a single argument from the iterator and return the smallest or largest element. Iterators are supported by the “not in” and “in” and operators: X in iterator is true if X is found in the stream returned by the iterator. When the iterator is infinite, max() and min() will never return, and the “in” and “not in” operators will never return if the element X never appears in the stream.

Note: Keep in mind that in an iterator, one can only go forward; you can’t get the previous part, copy it, or reset the iterator. These additional capabilities are optional for iterator objects, but the iterator protocol only specifies the __next__() method. The iterator protocol only specifies the __next__() method, so these additional capabilities are optional for iterator objects. Functions can thus consume the iterator’s entire output, and if you need to do something different with the same stream, you must create a new iterator.

Different Data Types that Supports Iterator

Now that we’ve already gone through how tuples and lists support iterators.  When you call iter() on a dictionary, you get an iterator that loops through the dictionary’s keys:

Input:

m = {'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'May': 5, 'Jun': 6,
...      'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov': 11, 'Dec': 12}
for key in m:
     print(key, m[key])

Output:

Jan 1
Feb 2
Mar 3
Apr 4
May 5
Jun 6
Jul 7
Aug 8
Sep 9
Oct 10
Nov 11
Dec 12

Note: Starting with Python 3.9, a dictionary’s iteration order assures to be much like its insertion order. Previously, the behavior was ambiguous and could change depending on the implementation.

dict(iter(key, value))

Iter() always loops through the keys when applied to a dictionary, but dictionaries possess techniques that return other iterators. To iterate over values or key/value pairs, just use values() or items() methods to obtain a suitable iterator.

The iterator that will return a finite stream of (key, value) tuples can pass to the dict() function :

Input:

L = [('Pakistan', 'Islamabad'), ('India', 'Delhi'), ('US', 'Washington DC')]
dict(iter(L))

Output:

>>> L
[('Pakistan', 'Islamabad'), ('India', 'Delhi'), ('US', 'Washington DC')]

Generators

Generators are a subclass of functions that make writing iterators easier. It returns an iterator that iterates through a stream of values, while regular functions compute and return a value.

You’re probably familiar with how regular Python or C functions call work. By calling the functions, it gets a private namespace in which it stores its local variable. Here, the local variables demolish and the function reaches the return statement where that value returns to the caller.

A subsequent call to the same function generates a set of local variables and a new private namespace. What if the local variables do not discard at the time when the function is exited? What if you could later pick up where you left off with the function?

Generator function example:

Input:

seq1 = 'def'
seq2 = (4, 5, 6)
[(x, y) for x in seq1 for y in seq2]  

Output:

[('d', 4), ('d', 5), ('d', 6), ('e', 4), ('e', 5), ('e', 6), ('f', 4), ('f', 5), ('f', 6)]

Function that contains the yield keyword is a generator function; Python’s bytecode compiler identifies it, which compiles the function differently as a result.

Moreover, when you call a generator function, it will return a generator that supports the iterator protocol rather than a single value.

Similar to a return statement, because when the yield statement runs, the generator will return the value of I. When a yield is achieved, the generator’s state of execution stops, and variables declared are retained. On the next call to the generator’s __next__() method, the functions will resume execution.

eg.

generate_ints() generator:

Input:

def generate_ints(N):
   for i in range(N):
       yield i

Output:

>>> gen = generate_ints(3)
>>> gen

>>> next(gen)
0
>>> next(gen)
1
>>> next(gen)
2
>>> next(gen)
Traceback (most recent call last):
  File "<pyshell#11>", line 1, in 
    next(gen)
StopIteration
</pyshell#11>

Here, writer generates ints() or a, b, c = generate ints can also be used here.

In a generator function, return value causes the __next__() method to raise StopIteration(value). The sequence of beliefs comes to an end when this happens, or when the bottom of the function calls reaches the maximum limit. Thus, the generator can no longer produce any more values.

You could achieve the effect of generators manually by composing your own class and stashing all of the generator’s local variables as instance variables.

Example:

Returning a list of integers, can complete when setting self.count to 0 and having the __next__() method increment and return self.count. Writing a corresponding class for a moderately complicated generator, on the other hand, can be much more difficult. Where this test suite comes in Python Library.

Here’s one generator that recursively implements an in-order tree traversal using generators.

def inorder(t):
    if t:
        for x in inorder(t.left):
            yield x

        yield t.label

        for x in inorder(t.right):
            yield x

The N-Queens problem, pinning N queens on a NxN chessboard so that no queen threatens another and the Knight’s Tour problem are solved in test generators.py to find a way that will take knight to each every square of an NxN chessboard without visiting any square twice.

Python Built-in Functions

In functional programming, python comes with numerous pre-defined functions that come with ready-to-use mode.

To use these functions, we don’t need to define them; we can simply name them. Built-in refers to this type of feature.

Python comes with a number of functions for functional programming. Here, we’ll go through a quick and easy overview of some of the functional functions that allow you to build fully functional programs. 

Iteration is supports several built-in Python data types, the most popular of which are lists and dictionaries. Iterable entities are those that can give an iterator.

Here, we took many examples of built-in functions like abs, dir, len, zip, map, and filter.

Python abs()

To get the accurate value of the given number, abs() function comes in use. If the number is a complex number.

Get absolute value of a number using abs()

The syntax of abs() method is : abs(num)

Input:

integer = -15
print('Absolute value of -15 is:',abs(integer))
floating = -1.11
print('Absolute value of -1.11 is:', abs(floating))

Output:

Absolute value of -15 is: 15
Absolute value of -1.11 is: 1.11


Python dir()

The dir() will return all of the defined object’s properties and methods, but not their values.

This will return all properties and methods, including functional properties that are set to default for all objects.

Syntax: dir(object)

Display the content: dir()

Input:

class Person:
   name = "Coco"
   age = 22
   country = "USA"
print(dir(Person))

Output:

['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'age', 'country', 'name']

Python filter()

The filter() method generates an iterator from elements of an iterable that return true when a function is called. In more simple words, filter function method just filters the iterator that is already given, with the help of a function that will test each and every element in it to be true or not. It returns an iterator that is by default filtered.

Syntax: filter(function, iterable)

Input: Let’s write code.

ages = [30,5,8,22,10,32]
def myFunc(x):
   if x<18:
      return False
   else:
      return True
adults = filter(myFunc, ages)
for x in adults:
   print(x)

Output:

There are mainly 2 types of filter() Parameters:

30
22
32

Functions: It is a function in python that tests whether the element of iterable returns either true or false.

If not, the function goes to the identity functions – which will return the value “False” if any elements are false.

These are going to get filtered; they can be, sets, tuples, containers, or lists of any iterator.

Python len()

The only work of len() function is to return the number of items in an object.

The len() function returns the number of characters in a string when the object is a string.

Syntax: len(object)

Input:

testList = []
print(testList, 'length is', len(testList))

testList = [1, 2, 3, 4, 6, 11]
print(testList, 'length is', len(testList))

testTuple = (1, 5, 3, 4)
print(testTuple, 'length is', len(testTuple))

testRange = range(100, 269)
print('Length of', testRange, 'is', len(testRange))

Output:

[] length is 0
[1, 2, 3, 4, 6, 11] length is 6
(1, 5, 3, 4) length is 4
Length of range(100, 269) is 169

Python map()

The map() function returns a set of figures after applying a given function to each object of an iter (list, sets, tuple, etc.). It returns an iterator of map class in its return type.

Syntax: map(function, iterable, ……..)

Input:

# Return double of n
def addition(n):
    return n + n
  
# We double all numbers using map()
numbers = (4, 5, 3, 2)
result = map(addition, numbers)
print(list(result))

Output:

[8, 10, 6, 4]

Python zip()

The zip() function takes an iterator, which can be zero or anything, aggregates it into a tuple, and returns it.

Syntax: zip(*iterables)

Input:

number_list = [1, 2, 3]
str_list = ['Chocolate', 'Butterscoth', 'Mango']

# No iterables are passed
result = zip()

# Converting iterator to list
result_list = list(result)
print(result_list)

# Two iterables are passed
result = zip(number_list, str_list)

# Converting iterator to set
result_set = set(result)
print(result_set)

Output:

[]
{(3, 'Mango'), (2, 'Butterscoth'), (1, 'Chocolate')}

Let’s Wrap Up!

From all this, you can tell that python helps you to write in a functional style but it will not force you to do it. Writing in functional style will only enhance your code and make it more detailed documentation.  Ultimately, it will make it more tread-safe. The biggest support of FP in python is the usage of the list comprehension, generators, and iterator. It also comes from itertools and functools import.

When you look at the whole scenario, it still lacks an important part of FP i.e. Tail Recursion and Pattern Matching. However, more work done on tail recursion will benefit and encourage developers to use recursion. 

Wanna check out our Articles related to Python? Check out! 

Why Python is Best fit for Big Data? and Why Python for a Startup is the Best Choice in 2021?

Android vs. iOS: ON WHICH PLATFORM YOU SHOULD BUILD MOBILE APP FIRST

In this era of mobility and changing time, development is taking place faster than anytime. We have a lot to dig in. 

Mobile application is ruling the era and this era is being ruled by Android and iOS. In the fourth quarter of 2020, around 2.9 million apps were available in the Apple App Store. It would be astonishing for you to know that till February 2021, Android has 71.9% Market share Worldwide. 

Now you can imagine how much good you will make when you choose to build an application of your own. 

If you’re creating an application, developing for iOS or Android is one of the first decisions you need to make.

Why can’t you develop mobile application on both platforms? 

Well you can, but it’s too risky if you are just starting with your business. 

We know that your ultimate goal is to launch an application on both platforms, before you decide anything, you need to think about the risk factors you’ll face if you select both platforms. 

Creating an app in both iOS and Android can cost you way too much. Here, you’ll be putting a high amount of money at stake. 

Instead of that, you can launch your app on any one platform, once it is successful; you can launch the app on another platform. 

So, how will you decide between Android and iOS to launch your app?

There are pros and cons of both platforms, but your choice depends on 7 factors:

  1. Hardware Requirement
  2. Target Audience
  3. License Issue 
  4. Features
  5. Integrated Development Environment
  6. Monetization 

Without wasting any time, let’s start with how these factors will affect your application. 

Let’s start!

#1 Hardware Requirements

Depending on the country in which you are, the hardware requirements are obvious to have or not so obvious to have.

In countries like India Windows is the dominant operating system, rather than US and Uk, where Mac Operating systems are mostly preferred. For the people in the USA and UK, it is pretty much common to develop iOS App rather than Android App. 

In India, Android Mobile Application development is much more preferred because the hardware you need is easily accessible and cheaper than iOS hardwares. 

The hurdle you’ll face is, for the MAC or iOS Mobile Application Development, you’ll need to have an iMac, Mac Mini or Macbook Pro. 

Where Android hardware is easier to get or upgrade. 

Thus, it is your choice to choose the hardware requirement according to your need. 

Important Features for perfect hardware for developing Mobile Application:

  • Top processor (Core i9/ Ryzen 9 Processor is new in market). Choose i3 Processor / ryzen 3 Minimum. 
  • Minimum 8GB RAM is preferred, if you purchase 16 GB RAM, it will be a good decision. 
  • Minimum 256GB SSD Hard Disk is required.

 

[table id=1 /]

LogicRays Recommendation:

Whatever you choose, choose wisely because your Hardware requirement will be the base of your Application and both Android and iOS have their pros and cons. 

If you got big bucks to spend for your application, go for iOS App Development

And, if you want to make your Application under the budget with good features, Android App Development is what you should prefer. 

#2 Target Audience 

First thing you need to know is that your users will either belong to Android or iOS platforms. 

Your App will depend on your idea, and your idea will decide your target audience. 

For Example, If my idea is to make a Food Delivery app, then I will have to create apps on both iOS and Android platforms because my target audience will be everyone. 

But if my idea is to create a Music app, then it will depend on the audience, whether my audience is using iOS / Android / Both platforms. 

If you’re targeting a global audience, Android will be your best choice. But if your audience is in the UK or US, Apple will be a better choice.

LogicRays Recommendation:

Depending in which country your user base belongs will help you make this decision. 

Go through your idea and observe, where you will be able to get more traffic on your application depending on your country you’re living in. 

#3 License Issue

License issues with Android and iOS are completely different. If you’re making an Application in iOS, it will cost you more than Android. 

iOS charges $99 per year to upload your application in the App Store. 

Where Android charges $30 for lifetime access to upload any Apps you want to upload in Google Playstore. 

iOS is very precise when it comes to choosing an application to upload in the Apple store because. iOS is very precise about the quality of application you’re uploading because Apple does not accept low-quality applications in their store. These conditions help them keep their standard high in the world. 

iOS goes pixel-to-pixel to check your Application. It is far more strict in App development, checks memory leaks, and Graphics of Application. 

In Android it is much easier for any application to get selected to be in Google Playstore. 

The Lifetime usage with affordable rates, make Android a much preferable choice for everyone because, not everyone can afford $99 every year unless their App runs successfully in iOS.

LogicRays Recommendation

Doesn’t matter if you’re a beginner or an Expert Mobile App Developer, Apple is much recommended because Apple is far more strict in accepting the app and renewing the license on a monthly basis. Thus, Apps in Apple are much more refined, strict, safe & secure. 

Android on the other hand comes with less price but less price means more users, more apps, more competition, and every type of apps. 

#4 Features

The feature of your app depends on the main idea behind creating this application and what your audience will need out of it. 

So, the main question for you is that “What features will you provide through your Mobile App?” Because Android is open source and it provides more flexibility compared to iOS. 

Building the features and functions that your audience wants is in your hand. 

Open source means Android has higher risk to pirate apps and malware. When you compare Apple with Android- Apple is more secure because of its closed nature. This is the reason why iOS has a bigger audience base in the enterprise market. 

It keeps the data of enterprise safe & secure.

LogicRays Recommendation:

For the enterprise market it is much more recommended to use Apple because it is much more secure & safe. Where Android is open-source, there are a good number of chances that a bug or malware can attack your application. 

Thus, if your application is for your personal purpose, then using Android for your App development is much preferred. 

#5 Integrated Development Environment (IDE)

Now when you write code for iOS, you use Xcode and when you write code for Android, you use Android studio. 

When you compare Xcode with Android Studio, Xcode is far more dominant than with the Android Studio. Since the things have now changed for Android Studio version 4.1, you don’t have to use third-party software like genymotion to speed up your performance of the emulator in the end right now. 

The default emulator is quite better than the previous version. 

On the other hand, Xcode is quite mature software because it has been through quite a lot of phases in every update. Thus, working on the Xcode is far more easier and less buggy, compared to the Android Studio. 

Also, the Android Studio has its own benefits like: arranging the things in layout is far more easier in the Android compared to Xcode because it comes with the linear layouts and compound layouts. 

At the end it is always your choice.

LogicRays Recommendation:

Apple has been dominating the market because of its ease of developing apps in Xcode. 

Since Android studio version 3 came out in October 2017, the issues related to bugs and lagginess got solved and the working with it became way more better than it used to be. 

Now that you’re getting a IDE at low rates, then why not choose it. 

#6 Monetization 

When you’re building an application, at some point you also hope to get your App monetized. 

Apple App store generates twice as much revenue compared to Google Playstore despite having half many downloads. 

Apple users are more likely to make in-app purchases and spend more on it. 

The likelihood of making purchases on iOS or Android determines how much money your app can make.

When you compare iOS users with Android users; Android users are less willing to pay for the apps. 

Thus, free apps with in-app-ads are more common in Android. 

Whereas, Apple App store brings in twice as much money as Google Play, despite the fact that there are half as many downloads. 

Apple users are more likely to make and spend money on in-app purchases.

LogicRays Recommendation:

Apple could be the best bet if you want to monetize your app without ads, freemium models by subscriptions, or in-app purchases. Here eCommerce Applications are no exception. 

In The End!

Android vs. iOS: Which Platform to Build Your App for First? 

Everything depends on where you are living, where your audience lives, what are their preferences, their feature requirements, license issue, and budget to determine where you should build a business app for iOS or Android first. 

If your product has minimum requirements, then Android can be the “Way to Go!” option for you. 

As well as, if you are looking forward to generating big bucks with your app or building an eCommerce app, iOS is the best option for you. 

Moreover, if your target is an emerging market or global market, depending on the region and features of your app, Android will be your best bet here. 

It doesn’t matter which platform you’re choosing.

Both platforms are on top and equally fantastic! 

We gave you perspective, now choice is yours!

With the help of LogicRays Technologies, you can now Hire Android Developer or Hire iOS Developer for creating the best business application you dreamt of. 

Why Python for a Startup is the Best Choice in 2021?

You’re having a great startup idea? Are you confused whether you should choose python for Startup idea or not? 

Here, with our points, you’ll get the right perspective about why you should choose python as a base platform for your Startup idea. As intelligent as it seems, your potential startup needs a pre classified critical approach. 

After the constant rise in 5 years, python ranks 3rd on the list of most loved technologies in the world and The average annual salary of a python developer in the US is $110,300 per year with the cash bonus of $5000 per year. 

Each and every startup has its own perspective and needs for development in terms of various functions, and features. For development, the platform you choose to build your idea should be minimal, versatile, simple, and easy to manage. 

Before you start, you need to determine the business goal behind this startup and how to deal with the challenges in the starting stage of startup. Ask yourself these questions and do a detailed research on it before you figure out which programming language you choose as a base platform. 

  • The base programming language for this startup will adapt with the new changes in MVP?
  • How much time will it consume to implement the idea in programming language? 
  • Will it simplify the work in critical products? 
  • How will you choose the best developer to build your tool?
  • Will this language handle web scraping, web automation, Artificial Intelligence, Big Data, and Machine Learning? 
  • The language you choose will help you scale the product?
  • Will it be able to handle both business intelligence and analytics?

Answering these questions for yourself is necessary to figure out MVP’s requirements and choose the best programming language for your startup idea. Here, Python is the answer to all your questions. 

We will start from the basics. 

What is Python?

Python is the top and highly used object-oriented, high-level, interpreted programming language. It is mainly used for Rapid Application Development, Scripting, and Editing the existing codes and components together. Minimal syntax and simplicity improves the readability of Python language, because of that, it reduces the cost of program maintenance. 

The following frameworks are recommended for python programming: Django, Flask, Web2Py, CherryPy, Pyramid, and TurboGears.

As a fully-optimized, open-source toolkit with great customizable architecture, it stimulates quick development with minimal coding. Many top applications in the world used Python as their base platform and brought huge differences in the world. These applications are: 

  • Instagram 
  • Disqus
  • Spotify
  • Youtube
  • Mozilla  

Even the top websites and applications use python as their base language. It is because of its simplicity, libraries, minimal code, and easy syntax. 

Now we will look at the reasons why Python for startups is the best choice for you? 

#1 Python for Web Scraping

In simple terms, Web scraping is extracting useful data from a website for our own purpose. Web scraping is performed with the aid of an algorithm or software that collects and processes a large amount of data from the internet. It doesn’t matter if you’re an engineer, data scientist, artist, or anybody who can analyze large datasets, this ability costs more and it is really useful if you have it. 

There are many applications given to web scraping, Some of them are:

Web scraping may be in use for a variety of purposes, including:

  • Lead Generation: Web scraping allows you to collect data of contact information from various sources that have really good and useful content. With this, you can find both personal information and information related to your business. 
  • Social Media Insights Management: With the help of web Scraping using python, you can predict trends in various social networks such as Twitter, Instagram, Pinterest, Facebook, TikTok, Snapchat, Reddit, and Tumblr. With this information, you can easily predict the plans for your social media page. 
  • Price Monitoring: Many companies use web scraping for services to analyze their competitors which helps them make a strategy for their own company. It also allows you to extract data from huge and popular retailers like Amazon, Flipkart, eBay, etc. 
  • Search Engine Optimization: With the help of scraping using the python algorithm, scraping organic search results will rapidly search your SEO competitors for any particular term. On the basis of that, you will be able to determine which keywords your competitors are targeting and decide the title tags.  

#2 Python for AI and ML

Machine Learning (ML) and Artificial Intelligence are the new black in developing IT industries. AI is used to handle the large work that cannot be done manually because of its intensified volume and intensity. According to Jean Francois Puget, from the Machine Learning Department of IBM, gave an opinion that Python is the most popular language for ML and AI.

To execute AI logics, you should make use of a programming language that is adaptable, accessible, and easy to understand. That is why Python is the best choice to implement AI and ML.

Advantage of Python that makes best fit for AI and ML. 

  • Access to various mind blowing structures and libraries
  • Minimal Coding
  • Environment friendly  
  • Extensive Network 
  • Basic and Predictable 

If you have an idea that requires Artificial intelligence as your base, you should use python for Artificial intelligence because it makes your work much easier and helpful at the same time. 

#3 Python Supports Data Science 

Python is one of the best languages used by Data Scientists around the world for various Projects and Applications. Python provides the best functionality to deal with scientific, mathematical, and statistics. It provides some of the best libraries that can deal with data science applications easily. Small syntax, adaptability, and quick response make it the most widely used software in this world.

The benefit of using Python for Data Science is; its libraries. Python provides a large base of libraries for doing mathematical and statistical analysis that helps data scientists to make their work easier and faster. Now analyzing the big data will become much easier with Python. 

When you are doing a startup in data science, choosing python to create your project will make your work 100 times easier. That’s why when you have a startup in the Data Science field, you should always choose Python for programming. 

#4 Python is Startup Specific

First thing about startups is that; in the beginning of their pace, every startup is broken. When you start, you’ll require a huge amount of bucks in your pocket to start. If you don’t have it, don’t panic because if you choose python for the development of a startup idea, it will cost you way less compared to the original price.

Second thing you need to know about startups is; it will not have a lot of time to convenience investors and partners. 

Thirdly, They will have to make their product work immediately in order to earn money out of it. 

If you use python as your base language when you start developing, then only these things will work. Use it to make an irresistible and the best product that astonishes everyone’s mind with your product. 

#5 Python Works on Complex Projects 

Projects such as creating a social network or a software with new functionalities are normally web-based. This web is handled by big data, be it social media, Netflix or Video streaming. This language deals with high-level complexities, which makes it easier to solve any problem in the development part. Python is ideal for web solutions. 

This language gives win-win when the word comes to scalability. For all the startups, it is very important to catch the ball of success in your hand while it lasts. If you make it to growing your business according to your choice with the success itself, it can spell out some good cash and benefits for future. 

#6 Small Team Works Best 

Python is not a tough language at all. It is very easy to learn and even a person from a non-engineering background can learn it easily. If you are looking forward to starting with developing your startup idea, you won’t need a team of developers to get the product in your hand. This gives startups a chance to try it, learn it and see it working. Thus, Keeping it simple in small will only benefit your  startup idea, because more is the number of people in a team, more will be opinions, and more confusion will be generated.

#7 Easy Investment 

Startups are nothing without investors and their funds. Your startup is based on investors because if your investors find your product unique, interesting, and useful, then only they will provide you the funding for your startup. Thus, it is important to show them what your product is all about. If you don’t have investors on your side, then the project will stay put. In 80% cases, proof of concept is just for convincing investors for investing in your startup. These proofs do not affect in any way considering the future.

Wrapping Up!

Now that you know, Startup is a kind of business that needs to go hit when you strike the ball to the player (between the audience). You have to fall into competition to win the race. Bring out the product that will help your audience in real life. The product you sell will decide the revenue of your business. 

Thus the whole web is big data, know about “How Python is Perfect Fit for Big Data?”. We hope that these points will help you understand why choosing Python is beneficial for your startup idea. So, did you like this article? Let us know in the comment section and if you have a good startup idea and you want help, Hire Python Developer at LogicRays Technology.