Python Basics

Python is a simple, easy-to-learn programming language that’s perfect for beginners. It uses clean, readable syntax that feels like writing plain English, making it a great first language for anyone new to coding.

In the beginning, you’ll learn how to install Python on your computer, explore popular code editors like VS Code and PyCharm, and write your very first Python program.

You’ll also understand how Python code runs, how to use the Python interpreter, and get comfortable with basic tools that make coding fun and efficient.

This foundation sets you up for all the exciting things you’ll build with Python!


📚 Table of Contents

  1. Introduction to Python
  2. Basic Syntax and Operations
  3. Control Flow
  4. Data Structures
  5. Functions
  6. Object-Oriented Programming (OOP)
  7. File Handling
  8. Error Handling
  9. Modules and Packages
  10. Visual Studio Code
  11. Google Colab
  12. PIP and Virtual Environment

1. Introduction to Python

  • Overview of Python
  • Installation and Setup
  • Python IDEs (PyCharm, VSCode, etc.)
  • Writing and Running Your First Python Program

2. Basic Syntax and Operations

  • Variables and Data Types
  • Basic Input and Output
  • Arithmetic, Comparison, and Logical Operators
  • Python Comments and Documentation

3. Control Flow

  • Conditional Statements (if, elif, else)
  • Looping Constructs (for, while)
  • break, continue, pass Statements

4. Data Structures

Lists

  • Creating, Accessing, and Modifying Lists
  • List Methods

Tuples

  • Differences between Lists and Tuples

Dictionaries

  • Key-Value Pairs, Common Methods

Sets

  • Creating Sets, Set Operations

5. Functions

  • Defining and Calling Functions
  • Function Arguments (positional, keyword, default)
  • Return Statements
  • Lambda Functions
  • Scope of Variables (local, global)

6. Object-Oriented Programming (OOP)

  • Introduction to Classes and Objects
  • Constructors and Destructors
  • Class and Instance Variables
  • Methods (instance, class, static)
  • Inheritance, Polymorphism, and Encapsulation
  • Magic Methods and Operator Overloading

7. File Handling

  • Reading and Writing Text Files
  • File Methods (open, read, write, close)
  • Working with CSV Files

8. Error Handling

  • Types of Errors (syntax, runtime)
  • Exception Handling (try, except, finally)
  • Custom Exceptions

9. Modules and Packages

  • Importing Built-in and External Modules
  • Creating Custom Modules
  • Package Structure and Importing

10. Visual Studio Code

  • Installing and Setting Up VS Code
  • Creating and Running Python Files
  • Visual Studio Code Plugins

11. Google Colab

  • What is Google Colab?
  • Using Google Colab for Python Programming
  • Uploading and Downloading Files
  • Running Code in the Cloud
  • Sharing and Collaboration Features

12. PIP and Virtual Environment

  • Introduction to pip
  • Installing Packages using pip
  • Upgrading and Uninstalling Packages
  • What is a Virtual Environment?
  • Creating a Virtual Environment with venv
  • Activating and Deactivating the Environment
  • Managing Dependencies with requirements.txt