numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported26 Subscribers
Add a CodeTriage badge to numba
Help out
- Issues
- incorrect handling of array.shape with nopython=True
- Add note in CUDA docs about signature in @cuda.jit causing immediate compilation
- numpy.empty() TypingError with structured dtype
- Memory leak when allocating 1D and 2D numpy arrays inside jitted functions
- meta-issue: All NumPy functions with no implementation
- out parameter broken for cuda ufuncs
- Result caching in Numba
- Annotate HTML alignment broken in JupyterLab
- Improve the efficiency of generating exponential random variables.
- Calling vectorize with parallel target inside njit
- Docs
- Python not yet supported