quaternionic
Interpret numpy arrays as quaternionic arrays with numba acceleration
Interpret numpy arrays as quaternionic arrays with numba acceleration
To install this package, run one of the following:
This package subclasses numpy's array type, interpreting the array as an array of quaternions, and accelerating the algebra using numba. There is also basic initial support for symbolic manipulation of quaternions by creating quaternionic arrays with sympy symbols as elements, though this is a work in progress.
Summary
Interpret numpy arrays as quaternionic arrays with numba acceleration
Information Last Updated
Sep 8, 2025 at 19:35
License
MIT
Total Downloads
94.3K
Platforms
GitHub Repository
https://github.com/moble/quaternionicDocumentation
https://quaternionic.readthedocs.io/