Python is a multi-paradigm programming language: object-oriented programming and structured programming. The syntax (words and structure) is extremely simple to read and follow, most of which can be understood even if you do not know any programming. Python is capable of threading and GPU processing just like any other language.
A few of the basic Python programming fundamentals that data scientists must master include: Data types. Python offers many built-in data types, including floats, integers, and strings. Devs must know the difference between each and when to use them.
Despite the vast range of programming languages, most data analysts choose to work with Python. While some data analysts use other programming languages like Javascript, Scala, and MATLAB; Python remains the popular choice due to its flexibility, scalability, and impressive range of libraries.
Python Language contains following topics at TCCI:
Introduction, Basic Syntax, Variables, Data types, List, String, Number, Tuple, Directory, Basic Operators, Decision making, Loop, Module, Exception Handling, Files, Function, Object-Oriented Concepts
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