numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- PyOMP and Numba
- Spurious deep copies in inlining
- Ahead Of Time default parameters and default keyword arguments- method doesn't work as expected
- CUDA: allow the user to specify that a kernel will have low occupancy in the `@cuda.jit` decorator
- Create nightly wheel builds
- Jupyter/Ipython Magic tools for Numba
- Seed not working with np.random.randint only if parallel=True
- Migrate gpuCI to RAPIDS Ops Github Actions + self-hosted runners
- Type signature spelling for arguments with default values
- Support for PEP 585 and PEP 604
- Docs
- Python not yet supported