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.
Source Files (show merged sources derived from linked package)
|_link||0000000147 147 Bytes||12 days|
|_multibuild||0000000053 53 Bytes||almost 2 years|
|fix-max-name-size.patch||0000000842 842 Bytes||3 months|
|numba-0.55.0.tar.gz||0002300580 2.19 MB||13 days|
|numba-pr7748-random32bitwidth.patch||0000002435 2.38 KB||12 days|
|python-numba.changes||0000060779 59.4 KB||12 days|
|python-numba.spec||0000005678 5.54 KB||12 days|
|skip-failing-tests.patch||0000001936 1.89 KB||3 months|