numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Refactor call table code to replace with `find_call_name` or similar.
- Serializing typed Lists and Dicts?
- Default `None` argument treatment is different in type-inference and in lowering
- Add support for @classmethod in jitclass
- CUDA decorator/compiler argument to set literal precision
- Accessing a numpy array defined in a module using the module name prefix fails in nopython mode
- Mod on uint64 near max values gives wrong result
- np.argsort still slowing down by jit
- help diagnosing a GPU performance issue
- Unable to broadcast argument 1 to output array
- Docs
- Python not yet supported