Module 1: Introduction to Python

• What is Python?

• Installing Python

• Python IDEs and Code Editors

• First Python Program: Hello, World!

• Python Interpreter

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Module 2: Python Syntax and Code Structure

• Basic Syntax and Indentation

• Variables and Data Types

• Comments and Documentation

• Code Structure and Formatting

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Module 3: Operators and Expressions

• Arithmetic Operators

• Comparison Operators

• Logical Operators

• Bitwise Operators

• Assignment Operators

• Expressions and Precedence

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Module 4: Control Flow (Conditionals)

• if, else, and elif statements

• Conditional Expressions (Ternary operator)

• Nested Conditionals

• Boolean Logic

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Module 5: Loops and Iterations

• for loop

• while loop

• break, continue, and pass

• Iterating over collections (lists, dictionaries)

• Nested Loops

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Module 6: Functions

• Defining Functions

• Function Parameters and Return Values

• lambda Functions

• Variable Scope and Lifetime

• Recursion

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Module 7: Data Structures – Lists

• Creating Lists

• Indexing, Slicing, and Iteration

• List Methods

• Nested Lists and Multidimensional Lists

• List Comprehensions

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Module 8: Data Structures – Tuples

• Creating Tuples

• Indexing and Slicing Tuples

• Tuple Methods

• Immutable Nature of Tuples

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Module 9: Data Structures – Dictionaries

• Creating Dictionaries

• Accessing and Modifying Items

• Dictionary Methods

• Iterating Through Keys, Values, and Items

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Module 10: Data Structures – Sets

• Creating Sets

• Set Methods

• Set Operations (Union, Intersection, Difference)

• Set Comprehensions

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Module 11: File Handling

• Opening and Closing Files

• Reading and Writing to Files

• Working with File Modes (r, w, a, etc.)

• File Handling with Context Manager (with)

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Module 12: Error Handling and Exceptions

• Understanding Errors

• try, except, else, and finally

• Handling Multiple Exceptions

• Raising Exceptions

• Custom Exception Classes

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Module 13: Object-Oriented Programming (OOP) – Basics

• Classes and Objects

• Instance Variables and Methods

• Constructors (__init__)

• Object Instantiation

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Module 14: Object-Oriented Programming (OOP) – Advanced

• Class Variables and Methods

• Inheritance and Method Overriding

• Polymorphism

• Encapsulation

• Abstract Classes and Methods

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Module 15: Working with Modules and Packages

• Importing Modules

• Creating Custom Modules

• Installing and Using External Libraries (pip)

• Creating Python Packages

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Module 16: Working with Date and Time

• datetime Module

• Date Arithmetic and Formatting

• Timezones

• Working with time Module

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Module 17: Regular Expressions (Regex)

• Introduction to Regular Expressions

• Basic Regex Patterns

• Special Characters and Metacharacters

• Regex Functions in Python (re module)

• Grouping and Capturing in Regex

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Module 18: Advanced Python Functions

• Higher-Order Functions

• map(), filter(), and reduce()

• Closures and Lambda Functions

• Decorators

• functools Module

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Module 19: Working with External Data (JSON, CSV)

• Reading and Writing JSON

• Reading and Writing CSV

• Working with csv and json Modules

• Parsing Data

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Module 20: Working with APIs (Web Requests)

• Introduction to APIs

• Using requests Module

• Making HTTP Requests (GET, POST, etc.)

• Parsing JSON Data from APIs

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Module 21: Multithreading and Multiprocessing

• Introduction to Concurrency

• Threads and the threading Module

• Synchronization and Locks

• Multiprocessing and the multiprocessing Module

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Module 22: Testing in Python

• Unit Testing with unittest

• Writing Test Cases

• Mocking with unittest.mock

• Test-Driven Development (TDD)

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Module 23: Working with Databases (SQLite)

• Introduction to Databases and SQL

• Connecting to SQLite with Python

• Executing SQL Queries

• Creating and Modifying Tables

• Retrieving Data

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Module 24: Web Development with Flask (Basic)

• Introduction to Web Development with Flask

• Setting up Flask Application

• Routes and Views

• Handling HTTP Requests

• Template Rendering with Jinja2

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Module 25: Final Project – Build a Python Web App

• Overview of Project Requirements

• Creating a Full Web App with Flask

• Database Integration

• User Authentication

• Deployment and Hosting

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Optional Advanced Modules (Extra/Bonus)

• Machine Learning with Python: Introduction to libraries like scikit-learn, TensorFlow, and PyTorch.

• Data Analysis with Pandas: Working with large datasets using Pandas and NumPy.

• GUI Development with Tkinter: Creating simple graphical user interfaces with Python.

• Django for Web Development: Introduction to Django for full-fledged web development.

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Suggested Course Project Ideas:

1. Todo Application (Learning Functions, Data Structures, and File Handling)

2. Library Management System (Practice OOP, Database Handling, File Operations)

3. Weather App using APIs (Fetch data from external API, process, and display it)

4. Web Scraper (Practice File Handling, Web Requests, and BeautifulSoup)