numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- slicing c-contiguous array in row-major way yields non-c-contiguous array in numba (though not in numpy)
- Feature request: bytes.decode
- Print over previous output
- ByteArray doesn't support boxing or slicing
- CUDA: Add accessors for function attributes beyond just register use per thread
- Make parfor array analysis store information only for integer types.
- Symbol not found: _do_scheduling_unsigned
- np.shift_left and np.shift_right unsupported for np.uint64
- Release global interpreter lock (GIL) in ahead-of-time-compiled code
- NumPy ndarray expression with broadcast is slower when not use local variable.
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- Python not yet supported