Python is a programming language widely used by data scientists.
Python has built-in math libraries and functions that make it easy to solve math problems and perform data analysis.
There are many reasons why Python is so important for data analysis; some of them are:
Flexibility:
Python is ideal for developers scripting applications and websites. This is because it is a simple language that requires less coding effort than other programming languages.
Simple to use:
Python's main focus is to keep things simple and readable. This makes it an ideal tool for programmers in the early stages of learning. Additionally, Python's learning curve is gradual and relatively low. Compared to ancient languages, Python has fewer lines of code, giving programmers the opportunity to try more things.
Open Source:
This basically means that Python is free and designed to run in both Windows and Linux environments. It can also be ported to other platforms. Well supported:
Python is commonly used in academic and industrial settings. This means there are many analytics libraries available.
