Python Practice Repository.

Welcome to my Python practice repository! This repository contains my practice exercises, lessons, and projects related to Python programming. Whether you're new to Python or looking to enhance your skills like me, you'll find a variety of resources here that has helped me grow as a Python developer.

Table of Content

• Overview
• Folder Structure
• Getting Started
• Contributing
• Licence

Overview

This repository serves as a hub for my Python practice journey. It includes:

• Practice Exercises: Various Python scripts and Jupyter Notebooks covering fundamental and advanced topics in Python programming.

• Projects: Hands-on projects and mini-projects showcasing practical applications of Python in different domains.

• Lessons: Summaries, notes, and lessons learned from tutorials, online courses, and books on Python programming.

• DSA: Summaries, notes and lessons about import data structures and algorithms

• Daily Algorithm Challenge (DAC): Python scripts covering solutions to different coding/algorithm/data struction questions

Feel free to explore the content, use it for your own learning, or contribute to enhance the repository with your own practice exercises, projects, or insights.

Folder Structure

The repository is organized into the following main folders:

• exercises: Contains Python scripts and Jupyter Notebooks with practice exercises.
• projects: Includes folders for different projects or project categories.
• lessons: Contains notes, summaries, and lessons learned from various learning resources.

Feel free to navigate through the folders to explore the content based on your interests and learning objectives.

Getting Started

To get started with this repository, simply clone it to your local machine: git clone https://github.com/your-username/python-practice.git

Then, you can explore the folders and files using your favorite text editor, IDE, or Jupyter Notebook environment. Run the Python scripts and notebooks to execute the code and see the results.

Contributing

I welcome contributions from fellow Python enthusiasts! If you have any practice exercises, projects, or lessons learned that you'd like to share, feel free to open a pull request with your changes. Additionally, if you notice any issues or have suggestions for improvement, please open an issue to discuss it.

Let's collaborate and learn together!

License

This repository is licensed under the MIT License. See the LICENSE file for details.