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Python Course: From Beginner to Advanced

Course Logo

Welcome to the Python Course repository! This repository contains code snippets and resources related to the Python course, covering topics from beginner to advanced levels.


Course Overview

  • This Python course is designed to take you from a complete beginner to an advanced Python programmer.
  • Each module covers essential Python concepts, provides practical examples, and includes exercises to reinforce your learning.
  • The course is complemented by video lectures available on YouTube.

Course Contents

  • Module 1: Introduction to Python

    • Basic syntax and data types
    • Variables and operators
    • Control flow (if statements, loops)
  • Module 2: Intermediate Python [upcoming]

    • Functions and modules
    • Lists, dictionaries, and sets
    • File handling and exceptions
  • Module 3: Object-Oriented Programming (OOP) [upcoming]

    • Classes and objects
    • Inheritance and polymorphism
    • Advanced OOP concepts
  • Module 4: Data Structures and Algorithms [upcoming]

    • Arrays and linked lists
    • Sorting and searching algorithms
    • Time and space complexity analysis
  • Module 5: Advanced Python Topics [upcoming]

    • Decorators and generators
    • Multithreading and multiprocessing
    • Working with external APIs

Code Snippets

In this repository, you'll find code snippets and examples related to each module of the course. Feel free to explore and use them for your learning purposes.


YouTube Videos

All the video lectures for this course are available on YouTube. Make sure to subscribe to the channel to stay updated with the latest content.


Connect with Me

[LinkedIn](https://www.linkedin.com/in/proteekbose/)


Contributing

Contributions to this repository are welcome! If you find issues or have suggestions for improvement, please open an issue or submit a pull request.


License

This project is licensed under the MIT License - see the LICENSE file for details.


Acknowledgments

  • Special thanks to all the contributors and supporters of this course.
  • Attribution to any external libraries or resources used in code examples.

Happy Coding! 🚀

# python-course

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