numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- First-class function type initializes too late
- inefficient matrix multiplication with its transpose
- Numba much slower than `np.sum`, and more sensitive to summation axis
- Move Numba to LLVM's NewPassManager
- Source/AST Frontend for Numba
- Memory leak when applying numba to an inner function
- Errors not being raised when running code in parallel
- Type system implementation #2: Added magic/dunder method support for add operator on scalar types.
- Can't execute python tests directly without using runtests.py
- Cannot cache function with jitclass as argument
- Docs
- Python not yet supported