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.