It incorporates high-level mathematical functions that operate on multi-dimensional arrays and matrices and is excellent for scientific computing. NumPy is one of the earliest libraries to find a use case in Data Science. Let’s take a look at some of the most popular Python libraries – There are so many libraries that you are sure to find one tailor-made to fit your Data Science needs. Over the years, Python has been made richer with the inclusion of libraries that enhance its functionality even further. While Python’s simplicity makes it the first choice for many, its assortment of fantastic libraries makes it all the more appealing to Data Science professionals. Libraries – there’s one for every need!.5 Reasons to Choose Python for Data Science Today, Python is extensively used for data analysis, statistical analysis, web development, text processing, and so much more. Python is time-savvy as it allows you to get straight to the research part without having to spend hours reading the documentation. In fact, you could write a program much faster in Python that you probably could with other languages such as C++ or Java. Its has a neat and lucid syntax, thereby offering a shorter learning curve than most other languages. One of the best features of Python is its inherent simplicity and readability that makes it a beginner-friendly language. When talking about Python’s popularity in both the programming and Data Science community, the first thing that comes to mind is its simplicity. We’ll give you 6 strong reasons to support our claim! Long story short – Python is an excellent Data Science tool. Plus, Python has an array of useful libraries and not to forget that it can be integrated with other languages (like Java) as well as existing structures. Since it is open-source, it is flexible and continuously improving. When it comes to Data Science, Python is a nifty tool with a whole range of benefits. The primary reason being that Python is super easy to learn. “The fastest-growing use of Python is for data science, machine learning, and academic research.”īehind this massive fan-following of Python lie numerous reasons. Home > Data Science > 7 Advantages of using Python for Data ScienceĬan you guess which is the most widely used language in the Data Science universe? Well, judging by the title of this article, you must already know what it is, and if you’re still wondering – it is Python.
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