Distorting a Sphere with Matplotlib 🎨🌐

A collection of Jupyter notebooks for visualizing and distorting a sphere using Matplotlib. This project is designed to demonstrate spherical transformations, custom distortions, and 3D plotting techniques in Python.

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Features ✨

• Generate and visualize 3D spheres with Matplotlib.
• Apply various distortions and transformations to the sphere.
• Interactive Jupyter notebooks for hands-on experimentation.

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Prerequisites 🛠️

• Python 3.8+
• Required Python libraries:
  • matplotlib
  • numpy
  • jupyter

Install dependencies:
pip install matplotlib numpy jupyter

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Installation

1. Clone the repository:
   git clone https://github.com/your-username/distort-sphere.git
   cd distort-sphere

2. Launch Jupyter Notebook:
   jupyter notebook

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Usage 🔧

1. Open the notebook distort_sphere.ipynb in Jupyter.
2. Run the cells to visualize a basic sphere.
3. Apply and modify distortions by editing the distortion functions in the notebook.

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File Structure 📂

• distort_sphere.ipynb: Main Jupyter notebook for visualizing and distorting the sphere.
• README.md: Documentation for the repository.

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Example Distortions 🌐

• Radial expansions or compressions.
• Sinusoidal surface distortions.
• Custom mathematical transformations.

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Contributing 🤝

1. Fork the repository.

2. Create a new branch:
   git checkout -b feature/your-feature

3. Commit your changes:
   git commit -m "Add your feature"

4. Push the branch:
   git push origin feature/your-feature

5. Open a pull request.

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License 📝

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

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Visualize and distort spheres in Python with ease! 🎨🌐