If you are searching for an exciting career opportunity that provides you with tremendous growth, data science is the perfect pick. However, to become a successful data scientist, you must select the programming language carefully. These days, Python is the most popular language if you are planning to become a data scientist. For that, you can even enroll in the Python course from the reputed Python development company.
In this blog, we will discuss why learning Python is beneficial to becoming a successful data scientist.
You might be wondering why is it so important to learn Python in the data science industry when there are other excellent scientific languages such as R, MATLAB, and Julia. What is so special in Python that has made it so successful as other programming languages?
Read on to learn a few reasons behind the popularity of Python for data scientists. However, before we deep dive into the popularity reasons of Python, first, understand what data science is.
What Is Data Science?
Data science is not a completely new discipline, but it has become quite popular in the last decade. It is a professional field in which data scientists extract value from data using scientific methods, algorithms, and other techniques. Data scientists every day sift through large data sets, extract what matters, and provide businesses with clear, concise, easy-to-understand insights.
Here is a list of common tasks that data scientists do daily.
- Researching and thoroughly understanding datasets
- Collecting data from external sources
- Cleaning & preparing datasets for the analysis
- Extracting complex insights using scientific methods and statistical means.
- Generating reports, reporting pipelines, & dashboards
- They even produce statistical models for predictive/data mining purposes.
Now, as you know what data science is, let’s understand why Python is popular in data science.
Why Learn Python If You Want To Become A Data Scientist?
Nowadays, Python is a widely used language globally by data scientists. If you want to become a data scientist and do not know Python then you should enroll in a Python, course in a reputed Python development company like LogicRays, and learn from experts.
Here are a few reasons why Python is popular among Data Scientists.
Simple Language
Python is one of the simplest languages to start with. It is easy to understand and easy to read. The best thing about it is its simplicity does not limit the functionalities you want to include in your site or product. There are the following reasons that give Python such kind of flexibility.
- It is a free & open-source language.
- Python is a high-level programming language.
- It is interpreted & huge community.
Besides all these, you need to type far less while coding in Python as compared to other languages.
For example,
In Java
Public class Hello
{
Public static void main (String[] args)
{
System.out.println(“Hello world”);
}
}
Whereas in Python
print(“Hello world”)
It is that SIMPLE.
Highly Scalable
Python is a highly scalable programming language. It means it has more and more possibilities that will be useful for any issue in app development. You do not need to spend more time finding memory leaks, compilation, or segmentation faults. If you are a non-Python programmer but know how to code in C++, you can easily learn this language.
Comprehensive Set Of Data Science Libraries & Frameworks
Due to its simple syntax, easy vocab, massive community, and readability, Python is popular among data scientists. However, besides all these benefits, there are libraries like Pandas, NumPy, SciPy, stat models, and Scikit-Learn is quite popular in data science communities. These libraries and frameworks address various data science needs such as data structure handling, algorithm and toolkits for ML, and analyzing complex networks.
Data Cleaning is Easy & Breeze
If you want to become a data scientist, you need to deal with data scrubbing, cleaning, massaging, and wrangling daily. That’s why it is vital to learn Python because this language is built to clean. Two libraries NumPy and Pandas are excellent at cleaning data.
Communication
Once you are done with data cleaning, the next big problem is to communicate your findings with the key stakeholders. Data science is not all about a few lines of code, but effective data visualization is crucial for that. Data visualization gives a clear idea of what information means by providing visual context through maps or graphs.
Epilogue
In summary, from this article, you will get a few Python development tips for beginners and understand why it is vital to learn Python if you want to become a data scientist. In this blog, we have curated many reasons. However, it is up to you which reason will be the main reason for you to learn Python. We suggest that you should certainly consider learning Python because of its possibilities and continuous improvement. It will help you to build extraordinary products and businesses.
If you are looking to Hire Python developer or want to learn Python, you can get in touch with LogicRays – The best Python development company.
