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This GitHub repository serves as a comprehensive file hub for a Python course, encompassing lecture notes, code examples, and assignments.

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Python Course File Hub

Welcome to the Python Course File Hub! This repository serves as a central hub for all the materials related to the Python course. Whether you're a student looking for lecture notes, code examples, or assignments, you'll find everything you need right here. Our organized folder structure ensures seamless navigation and easy access to course content, allowing you to engage with the materials efficiently.

🎥 Video Tutorials

Each lecture includes comprehensive video explanations:

🚀 Quick Navigation

Table of Contents

Getting Started

To get started with the Python course, make sure you have Python installed on your system. You can download it from the official Python website. Additionally, you might need a code editor or integrated development environment (IDE) of your choice, such as Visual Studio Code or PyCharm.

Folder Structure

The repository is organized into the following folders:

  • Lecture_Notes: This folder contains detailed lecture notes for each module covered in the course. You'll find comprehensive explanations, code snippets, and examples to help you grasp the concepts effectively.

  • Coding: Here, you'll discover a wide range of code examples that complement the lecture notes. These examples demonstrate various concepts and techniques, helping you solidify your understanding through hands-on practice.

  • Assignments: The assignments folder holds all the assignments for the course. Each assignment is placed in a separate subfolder and accompanied by detailed instructions. This is where you can apply what you've learned and showcase your coding skills.

Lecture Notes

In the Lecture_Notes folder, you'll find detailed lecture notes in Markdown format for each module, complete with video tutorials.

Core Python Topics:

  1. Python01-py101 - Introduction to Python programming
  2. Python02-Arrays - Working with arrays and lists
  3. Python03-Pandas - Data manipulation with Pandas
  4. Python04-Plotting - Data visualization

Extended Topics:

Version Control:

  • Git Basics - Essential Git commands and workflows

Code Examples

The Coding folder contains interactive Jupyter notebooks organized by difficulty level. All notebooks can be opened directly in Google Colab for immediate practice without any setup!

Practice by Difficulty Level:

Perfect for absolute beginners:

For those with basic understanding:

Intermediate challenges:

Advanced problems:

Assignments

The Assignments folder contains individual assignments with increasing difficulty. Each assignment includes:

  • Detailed instructions in Markdown format
  • Jupyter notebooks for interactive practice
  • Sample data files for real-world scenarios

Assignment Structure:

Interactive Notebooks:

📚 Learning Path

Recommended Study Order:

  1. Start with Git - Git Basics to understand version control
  2. Python Fundamentals - Begin with Python01 and practice with Level 0 exercises
  3. Data Structures - Progress through Arrays and Pandas
  4. Visualization - Master Plotting techniques
  5. Advanced Topics - Explore NumPy, Data Science, and more

🔗 External Resources

License

This repository is licensed under the MIT License. You are free to use, modify, and distribute the content for educational purposes.

Happy coding!

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This GitHub repository serves as a comprehensive file hub for a Python course, encompassing lecture notes, code examples, and assignments.

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