HEPJo v0.1.0 !
I am excited to announce the first release of HEPJo v0.1.0, HEPJo is a high-performance library for numerical computations in particle physics, written in Mojo 
similar to Scikit-HEP in Python.
Here's what's currently included:
Key Features
* Vector Operations: Complete 2D, 3D, and Lorentz vector implementations with standard operations
* Physics Calculations: Support for boosts, transformations, and common particle physics computations and other kinematic functions.
* Scikit-HEP Interface: Familiar API design for physics computations
Check out the GitHub repository for examples, future plans and more.
Stay tuned for more updates! Contributions are welcome! Please feel free to report issues and submit a Pull Request.
similar to Scikit-HEP in Python.Here's what's currently included:
Key Features
* Vector Operations: Complete 2D, 3D, and Lorentz vector implementations with standard operations
* Physics Calculations: Support for boosts, transformations, and common particle physics computations and other kinematic functions.
* Scikit-HEP Interface: Familiar API design for physics computations
Check out the GitHub repository for examples, future plans and more.
Stay tuned for more updates! Contributions are welcome! Please feel free to report issues and submit a Pull Request.
GitHub
HEPJo is a high-performance numerical computation library in Mojo, inspired by Scikit-HEP. It offers efficient array operations and mathematical functions and much more for computations in High Ene...
