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iNtroductioN to PytHoN

iNStallatioN & ide aNd

fuNdameNtalS of PytHoN

ProgrammiNg

12

Learning Objectives

12.1 Python 12.2 Integrated Development Environment (IDE)
12.3 Installing Python 12.4 Popular IDEs for Python
12.5 Core Features of Python Programming 12.6 Python Code Execution
12.7 Python Character Set 12.8 Comments in Python
12.9 Tokens in Python 12.10 Variables in Python

Python is a simple yet powerful programming language that is well suited for beginners. It allows users to organize
data, perform calculations and generate meaningful outputs. Learning Python helps students build a strong foundation
for understanding how data is stored, processed and used in modern computing.

This chapter introduces the basic concepts of Python programming, including its main features and the ways Python
code is executed in interactive and script modes. It also explains the character set, comments, tokens and variables
along with their rules. These topics help learners develop a strong foundation for understanding and writing Python
programs.

12.1 PYTHON
Python is a general-purpose, high-level programming language that supports object-oriented
programming and is easy to learn. Guido van Rossum designed Python at Centrum Wiskunde
& Informatica and released it in 1991. He wanted to give a unique name, so he named it after
the famous BBC comedy TV show “Monty Python’s Flying Circus”.
Python supports simple English-like statements which make it easy for programmers to learn
and maintain code. It has both procedural and object-oriented programming approaches.
These features have made Python one of the most popular programming languages among Guido van Rossum
programmers.

12.1.1 Uses of Python
Python is used in many fields because it is easy to learn and very powerful. Some important uses of Python are:
• Web Development: Python is used to create websites and web applications using frameworks like Django and Flask.
• Software Development: It helps in building desktop applications, tools and automation scripts.
• Data Analysis and Data Science: Python is widely used to analyse data, create charts and make predictions using
libraries like NumPy, Pandas and Matplotlib.

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