Complete Python Programming Syllabus (Beginner to Advanced) – 2026

 

Complete Python Programming Syllabus (Beginner to Advanced)


 MODULE 1: Introduction to Programming

  • What is Programming?

  • What is Python?

  • Why Python is Popular?

  • Python Features

  • Applications of Python

  • Python vs Other Languages

  • Installing Python (Windows / Linux / Mac)

  • Python IDLE & VS Code Setup

  • Writing Your First Python Program

  • Python Execution Flow

 MODULE 2: Python Basics

  • Keywords and Identifiers

  • Variables in Python

  • Data Types Overview

  • Type Conversion

  • Input and Output Functions

  • Comments and Documentation

  • Python Coding Style (PEP8)

 MODULE 3: Operators in Python

  • Arithmetic Operators

  • Relational Operators

  • Logical Operators

  • Assignment Operators

  • Bitwise Operators

  • Membership Operators

  • Identity Operators

  • Operator Precedence

MODULE 4: Control Flow Statements

  • if Statement

  • if–else Statement

  • if–elif–else Ladder

  • Nested if

  • for Loop

  • while Loop

  • break, continue, pass

  • Loop with else

  • Real-Life Examples

MODULE 5: Python Data Structures

1. Strings

  • String Creation

  • String Indexing & Slicing

  • String Methods

  • String Formatting

  • Common String Programs

2. Lists

  • List Creation

  • List Operations

  • List Methods

  • Nested Lists

  • List Comprehension

3. Tuples

  • Tuple Properties

  • Tuple Methods

  • Packing & Unpacking

4. Sets

  • Set Creation

  • Set Operations

  • Set Methods

5. Dictionaries

  • Dictionary Creation

  • Accessing Elements

  • Dictionary Methods

  • Nested Dictionaries

MODULE 6: Functions in Python

  • Built-in Functions

  • User-Defined Functions

  • Function Arguments

    • Positional

    • Keyword

    • Default

    • Variable Length

  • Return Statement

  • Lambda Functions

  • Recursion

  • Scope of Variables

MODULE 7: File Handling

  • File Modes

  • Reading Files

  • Writing Files

  • Appending Data

  • Working with Text Files

  • Working with CSV Files

  • Exception Handling in Files

MODULE 8: Exception Handling

  • Errors vs Exceptions

  • try, except, else, finally

  • Multiple Exceptions

  • Custom Exceptions

  • Best Practices

MODULE 9: Object-Oriented Programming (OOP)

  • Class and Object

  • Constructor (__init__)

  • Instance & Class Variables

  • Methods

  • Inheritance

  • Polymorphism

  • Encapsulation

  • Abstraction

  • Real-Life OOP Examples

MODULE 10: Modules & Packages

  • Importing Modules

  • Built-in Modules

  • User-Defined Modules

  • Packages

  • __name__ == "__main__"

MODULE 11: Advanced Python

  • Iterators

  • Generators

  • Decorators

  • Closures

  • Shallow vs Deep Copy

  • Multithreading

  • Multiprocessing

MODULE 12: Python Libraries (Basics)

  • NumPy

  • Pandas

  • Matplotlib

  • Seaborn

  • OS & Sys Modules

MODULE 13: Data Structures & Algorithms (Python)

  • Time & Space Complexity

  • Arrays

  • Strings

  • Recursion

  • Searching Algorithms

  • Sorting Algorithms

  • Stack

  • Queue

  • Linked List

  • Tree

  • Graph

  • Hashing

MODULE 14: Python Interview Preparation

  • Python Interview Questions

  • MCQs with Answers

  • Coding Interview Problems

  • Tricky Python Questions

  • Common Mistakes

  • HR + Technical Tips

MODULE 15: Mini Projects

  • Calculator

  • Number Guessing Game

  • Student Management System

  • To-Do List App

  • File-Based Projects

MODULE 16: Real-Time Projects

  • Python Automation Scripts

  • Web Scraping Project

  • Data Analysis Project

  • Python + MySQL Project

  • Python GUI Project (Tkinter)

By following this complete Python syllabus, you can move from zero knowledge to confident Python programmer with real-world skills.


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