Part I: Introduction to Python

  1. Getting Started with Python

    • What is Python?

    • Installing Python and Setting Up IDEs

    • Writing and Running Your First Python Program

  2. Python Fundamentals

    • Variables and Data Types

    • Basic Operators

    • Type Conversion and Input/Output

    • Comments and Code Structure

  3. Control Structures

    • Conditional Statements (if, elif, else)

    • Loops (for, while)

    • Loop Control (break, continue, pass)


Part II: Data Handling in Python

  1. Strings and String Functions

    • String Creation and Manipulation

    • String Methods and Formatting

  2. Lists and Tuples

    • Creating Lists and Tuples

    • Indexing, Slicing, and Nested Structures

    • List/ Tuple Methods

  3. Dictionaries and Sets

    • Dictionary Basics and Operations

    • Set Operations and Use Cases


Part III: Functions and Modular Programming

  1. Functions in Python

    • Defining and Calling Functions

    • Parameters, Arguments, and Return Values

    • Lambda Functions

  2. Modules and Packages

    • Importing Built-in Modules

    • Creating Custom Modules

    • Exploring the Python Standard Library


Part IV: Object-Oriented Programming

  1. Classes and Objects

    • OOP Basics: Class, Object, __init__

    • Instance vs Class Variables

  2. Advanced OOP Concepts

  • Inheritance and Polymorphism

  • Encapsulation and Abstraction

  • Magic Methods (__str__, __len__, etc.)


Part V: File Handling and Exception Management

  1. File I/O

  • Reading and Writing Files

  • Working with Text, CSV, and JSON Files

  1. Error and Exception Handling

  • try, except, finally

  • Creating Custom Exceptions


Part VI: Libraries for Data and Web

  1. NumPy for Numerical Computing

  • Arrays, Operations, and Indexing

  • Broadcasting and Vectorization

  1. Pandas for Data Analysis

  • Series and DataFrames

  • Importing/Exporting Data

  • Data Cleaning and Transformation

  1. Matplotlib and Seaborn

  • Basic and Advanced Plotting

  • Customizing Charts and Graphs

  1. Using APIs and JSON

  • requests Module

  • Consuming REST APIs


Part VII: Advanced Topics

  1. Working with Databases

  • Connecting to SQLite/MySQL

  • CRUD Operations using sqlite3

  1. Web Development with Flask

  • Routing, Templates, and Forms

  • Mini Web Application Project

  1. Multithreading and Multiprocessing

  • Threads vs Processes

  • Threading and Process Pooling

  1. Unit Testing in Python

  • Writing and Running Unit Tests

  • unittest and pytest Basics


Part VIII: Real-Life Projects

  1. Project 1: Weather Forecast App

  2. Project 2: Expense Tracker

  3. Project 3: Student Result Management System

  4. Project 4: Personal Portfolio Website

  5. Project 5: Data Analytics Dashboard

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