numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- refactor common code in reduce-like numpy methods
- Make it more clear what numba features can and can't be used in compiled code
- Type inference error for dict when using default value
- optional argument support for supported numpy functions, at the very least `axis`
- Allow parsing dates of the form "1899-12-30" in a jit context
- Using .pop(0) on a list and then appending new elements crashes when called repeatedly
- `np.float*()` call with array like argument incorrectly types
- storage variables inside functions do not work in nopython mode
- prange equivalent for iterable, zipped, etc
- Make lowering reveal which overload is picked
- Docs
- Python not yet supported