Welcome to Computational Approaches to X (CA-X)! This project is dedicated to advancing computational science education through the development of accessible, practical, and engaging educational materials.

The CA-X project aims to:

• Develop high-quality educational resources focused on computational approaches to various scientific and engineering disciplines.
• Bridge the gap between numerical analysis theories and hands-on software implementations.
• Empower students, educators, and researchers with tools and techniques for solving complex problems using computational methods.

By integrating modern tools, open-source practices, and interactive resources, CA-X seeks to make computational science education more impactful.

• Educational Modules: Modular, topic-specific resources covering computational methods, programming, and numerical approaches.

• Interactive Content: Resources designed to be run and explored interactively using Jupyter notebooks, Google Colab, or GitHub Codespaces.

• Open-Source Philosophy: All materials are freely available under an open-source license, encouraging collaboration and contribution from the global community.

• Computational Physics: Techniques for solving differential equations, simulating physical systems, and analyzing data.

We welcome contributions and collaboration from anyone passionate about computational science education. Whether you are an educator, a student, or a professional, there are many ways to contribute:

• Submit suggestions or feedback via GitHub Issues, e.g., in cana and caph.
• Propose new features or topics through pull requests.
• Share your own computational science resources for integration.

Let's make computational science education accessible and exciting for everyone!