in data analysis python is essential ?

Its producers define the Python language as “…an interpreted, an object-oriented, high-level programming language with dynamic semantics. It’s high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components.”

Python is a general-purpose programming language, meaning it can be used in the development of both web and desktop applications. It’s also useful in the development of complex numeric and scientific applications. With this sort of versatility, it comes as no surprise that Python is one of the fastest-growing programming languages in the world.

So how does Python jibe with data analysis? We will be taking a close look as to why this versatile programming language is a must for anyone who wants a career in data analysis today or is looking for some likely avenues of upskilling. Once you’re done, you’ll have a better idea as to why you should choose Python for data analysis.

It’s Flexible

If you want to try something creative that’s never done before; then Python is perfect for you. It’s ideal for developers who want to script applications and websites.

It’s Easy to Learn

Thanks to Python’s focus on simplicity and readability, it boasts a gradual and relatively low learning curve. This ease of learning makes Python an ideal tool for beginning programmers. Python offers programmers the advantage of using fewer lines of code to accomplish tasks than one needs when using older languages. In other words, you spend more time playing with it and less time dealing with code. 

It’s Open Source

Python is open-source, which means it’s free and uses a community-based model for development. Python is designed to run on Windows and Linux environments. Also, it can easily be ported to multiple platforms. There are many open-source Python libraries such as Data manipulation, Data Visualization, Statistics, Mathematics, Machine Learning, and Natural Language Processing.

So, to sum up, these points, Python isn’t overly complex to use, the price is right (free!), and there’s enough support out there to make sure that you won’t be brought to a screeching halt if an issue arises.