Leslie-Techie

Python has grown to be one of the most famous programming languages for data science, This is because it's easy to use, flexible, and has variety of libraries and tools reachable for it.
In this article, an introduction to Python for Data science, covering the fundamentals of the language, its Data science libraries, and some of the key concepts and techniques used in Data science.
PYTHON BASICS

Python is a high-level, interpreted programming language. It is a general-purpose language that can be used for a wide variety of tasks, including web development, machine learning, and scientific computing. One of the key advantages of Python is its simplicity and ease of use, making it an ideal language for beginners. 

BASIC CONCEPTS AND SYNTAX USED IN PYTHON

Variables: In Python, variables are used to store data. Variables can be assigned values using the equals sign (=).