numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Bug using += (Add AND) with matrix transpose
- failure to use Prange with @njit(parallel=True) on loop which can be parallelised
- Code generation for np.einsum
- List() and Dict() always recompile _getitem,_setitem, _length, etc. every time; maybe should cache?
- jitclass doesn't respect ndarray.flags.writeable flag
- Overload float(), int() and str() to do number <-> string conversion
- Var error in parfors step
- Implement `in`/`operator.contains` consistently.
- Greater support of thread specific arrays
- Record mutation is ignored
- Docs
- Python not yet supported