Python For Data Science – Real Time Experience

In this course, you will embark on a journey into the world of the Python Programming Language through hands-on coding exercises in Jupyter Notebook, presented in an exceptionally accessible manner.

To begin, you will be guided through the installation and initial usage of the Jupyter Notebook environment, setting the stage for an immersive learning experience.

Subsequently, we will delve into the various essential topics of Python programming.

Lets have a look at some theoretical part (not covered in video lectures).

Introduction –

Python is a high-level programming language that uses instructions to teach the computer how to perform a task. Python is an easy to learn, powerful programming language.

A language which is closer to the human language (like English) is known as a high-level language.

Python provides an easy approach to object-oriented programming.

Object-oriented is approach used to write programs.

Python is a free and open source language i.e., we can read, modify and distribute the source code of Python scripts.

It was developed by Guido van Rossum and was released in 1991.

Python finds its application in various domains. Python is used to create web applications, used in game development, to create desktop applications, is used in Machine Learning and Data Science.

How Python Works ? –

We write instructions in Python language.

Python is an interpreted language, so there is no need to compiling it.

Python programs runs (executed) directly through source code. The source code is converted into Intermediate Bytecode and then Bytecode is converted into the native language of computer (i.e., machine language) internally by Python Interpreter. The code is executed and the output is presented.

Python Source Code > Intermediate Bytecode > Machine Language > Code Executed