Edit Package python-numba

Compiling Python code using LLVM

Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.

It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls effectively removing the “interpreter” but not removing the dynamic indirection.

Numba is also not a tracing JIT. It compiles your code before it gets run either using run-time type information or type information you provide in the decorator.

Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.

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Source Files
Filename Size Changed
_multibuild 0000000053 53 Bytes over 1 year
fix-max-name-size.patch 0000000842 842 Bytes 26 days
numba-0.54.1.tar.gz 0002232957 2.13 MB about 2 months
numba-pr7483-numpy1_21.patch 0000007672 7.49 KB 26 days
python-numba.changes 0000057055 55.7 KB 15 days
python-numba.spec 0000005621 5.49 KB 26 days
skip-failing-tests.patch 0000001936 1.89 KB 26 days
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