Welcome to the PyDataPlayground repository!

This repository contains a collection of scripts and examples showcasing data analysis and scientific computing using popular Python libraries.

How to Use

1. Clone the repository to your local machine using:

   git clone https://github.com/artifactNU/PyDataPlayground.git

2. Navigate to the specific folder of interest.

3. Open the Python script in your preferred code editor.

4. Run the script to see the demonstration, visualization or analysis in action.

5. Feel free to modify, experiment, and learn from the scripts. Contributions are welcome!

Prerequisites

To run the scripts in this repository, you'll need the following libraries:

NumPy
SciPy
Matplotlib
python-gnupg
cryptography

You can install these libraries using the following command:

pip install numpy scipy matplotlib python-gnupg cryptography

Contribution Guidelines

Contributions are encouraged! If you have your own examples, improvements or additional scripts to share, feel free to open a pull request. Please follow the existing folder structure and keep the code well-documented.

License

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