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https://github.com/dendarko/python-programming
Python programming tutorials with downloadable Jupyter notebooks to help learners practice hands-on exercises from my YouTube channel.
https://github.com/dendarko/python-programming
coding data-structures jupyter-notebook machine-learning matplotlib numpy oops-in-python pandas programming python tutorials
Last synced: 14 days ago
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Python programming tutorials with downloadable Jupyter notebooks to help learners practice hands-on exercises from my YouTube channel.
- Host: GitHub
- URL: https://github.com/dendarko/python-programming
- Owner: dendarko
- Created: 2024-09-07T23:46:00.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-09-23T02:39:58.000Z (about 2 months ago)
- Last Synced: 2024-09-25T20:23:01.345Z (about 2 months ago)
- Topics: coding, data-structures, jupyter-notebook, machine-learning, matplotlib, numpy, oops-in-python, pandas, programming, python, tutorials
- Language: Jupyter Notebook
- Homepage: https://www.youtube.com/@DarkoLabsDataScience
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Python Programming Tutorials
## Overview
Welcome to the **Python Programming** repository! This repository contains Jupyter notebooks (IPYNB files) for Python programming tutorials available on my [YouTube channel](https://www.youtube.com/channel/your-channel-link). The notebooks are designed to help you follow along with the tutorials and practice the concepts hands-on.
## What You Will Find Here
Each folder contains a set of Jupyter notebooks that correspond to specific topics covered in my videos. These topics include:
- Python Basics (variables, data types, control structures)
- Functions and Modules
- Object-Oriented Programming (OOP)
- Data Structures (lists, tuples, dictionaries, sets)
- File Handling
- Exception Handling
- Working with Libraries like `numpy`, `pandas`, `matplotlib`
- Introduction to Machine Learning with Python
- And more...
## How to Use
1. **Clone or Download the Repository**:
You can either clone the repository or download the specific notebook you want to practice with.
```bash
git clone https://github.com//python-programming.git
```
2. **Open the Notebooks**:
Open the Jupyter notebooks using your preferred method, such as Jupyter Notebook, JupyterLab, or Google Colab. If you're using Google Colab, you can simply upload the notebook and run it in the cloud.
3. **Follow Along**:
Follow along with the video tutorials, run the code cells, and try to modify the examples for additional practice.
## Video Playlist
Check out the complete playlist of Python tutorials on my YouTube channel: [Python Programming Playlist](https://www.youtube.com/channel/your-channel-link/playlist)
## Contributions
Feel free to contribute by submitting issues or making pull requests to improve the notebooks or add more exercises. Contributions are always welcome!
## License
This repository is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Contact
If you have any questions or want to connect, feel free to reach out:
- **YouTube Channel**: [Darko Labs](https://www.youtube.com/channel/your-channel-link)
- **GitHub**: [dennisdarko0909](https://github.com/dennisdarko0909)
- **LinkedIn**: [Dennis Darko](https://www.linkedin.com/in/dennis-darko/)