https://github.com/guillermodotn/python-data-tools-notebooks

Discovering Python data tools through hands-on exploration in Jupyter notebooks.
https://github.com/guillermodotn/python-data-tools-notebooks

data-science jupyter-notebook python3

Last synced: 13 days ago
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Discovering Python data tools through hands-on exploration in Jupyter notebooks.

• Host: GitHub
• URL: https://github.com/guillermodotn/python-data-tools-notebooks
• Owner: guillermodotn
• Created: 2023-03-08T20:58:50.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-25T08:20:15.000Z (7 months ago)
• Last Synced: 2024-05-12T15:52:12.950Z (6 months ago)
• Topics: data-science, jupyter-notebook, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 1.88 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Python Data Exploration Playground

Welcome to the Python Data Tools Notebooks repository! 🚀

This repository serves as a hub for exploring various Python data packages using interactive Jupyter notebooks. Dive into the world of data analysis, visualization, and machine learning, and experiment with popular Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn.

## Features

- Interactive Jupyter notebooks for hands-on exploration

- Examples covering data analysis, visualization, and machine learning tasks

- Experiment with different datasets, algorithms, and techniques

## Getting Started

1. Clone this repository to your local machine.

2. Install the required dependencies by running `pip install -r requirements.txt`.

3. Launch Jupyter notebooks using `jupyter notebook` and start exploring!

## Contents

- `notebooks/`: Contains Jupyter notebooks covering various data exploration topics.

    - `Cartopy/`: Dive into geographical data visualization with the Cartopy package.

    - `Matplotlib/`: Explore advanced plotting techniques using the Matplotlib library.

    - `Pandas/`: Analyze and manipulate data efficiently with the Pandas library.

- `data/`: Sample datasets for experimentation.

- `LICENSE`: MIT License for this repository.

- `requirements.txt`: List of dependencies for easy setup.

## Contributing

Contributions are welcome! Whether you want to fix a bug, add new features, or improve documentation, feel free to open a pull request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

Special thanks to the open-source community for developing and maintaining the amazing Python data packages used in this repository.

Happy exploring! 🐍📊