numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Convert Numba to use `pyproject.toml`
- performance difference between `enumerate(arr)` and `for i in range(len(arr))`
- Preserve class __module__ of a jitclass instance
- Cannot get numba to work on Raspberry Pi 4
- Fix #9008: memory leak in dispatcher.
- Split find_top_level_loops into two functions.
- Change a bunch of var names created during lowering to start with a period.
- Segmentation fault with generator function
- CUDA: support array copy similar to `np.copy`
- Memory leak when passing string literal as an argument to a jitted function
- Docs
- Python not yet supported