A Just-In-Time Compiler for Numerical Functions in Python
Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.
Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.
For more information about Numba, see the Numba homepage: http://numba.pydata.org
Dependencies
llvmlite
NumPy (version 1.9 or higher)
funcsigs (for Python 2)
Installing
The easiest way to install Numba and get updates is by using the Anaconda Distribution: https://www.anaconda.com/download
$ conda install numba
For more options, see the Installation Guide: http://numba.pydata.org/numba-doc/latest/user/installing.html
Documentation
Mailing Lists
Join the Numba mailing list numba-users@continuum.io: https://groups.google.com/a/continuum.io/d/forum/numba-users
Some old archives are at: http://librelist.com/browser/numba/
Continuous Integration
5 maintainers
Release files for numba 0.44.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numba-0.44.0.tar.gz | 1.7 MB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| numba-0.44.0-cp37-cp37m-win_amd64.whl | CPython 3.7 | CPython 3.7 pymalloc | Windows x86-64 | Details |
| numba-0.44.0-cp37-cp37m-win32.whl | CPython 3.7 | CPython 3.7 pymalloc | Windows x86-32 | Details |
| numba-0.44.0-cp37-cp37m-manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numba-0.44.0-cp37-cp37m-manylinux1_i686.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| numba-0.44.0-cp37-cp37m-macosx_10_9_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | macOS 10.9+ x86-64 | Details |
| numba-0.44.0-cp36-cp36m-win_amd64.whl | CPython 3.6 | CPython 3.6 pymalloc | Windows x86-64 | Details |
| numba-0.44.0-cp36-cp36m-win32.whl | CPython 3.6 | CPython 3.6 pymalloc | Windows x86-32 | Details |
| numba-0.44.0-cp36-cp36m-manylinux1_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numba-0.44.0-cp36-cp36m-manylinux1_i686.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| numba-0.44.0-cp36-cp36m-macosx_10_9_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.9+ x86-64 | Details |
| numba-0.44.0-cp35-cp35m-win_amd64.whl | CPython 3.5 | CPython 3.5 pymalloc | Windows x86-64 | Details |
| numba-0.44.0-cp35-cp35m-win32.whl | CPython 3.5 | CPython 3.5 pymalloc | Windows x86-32 | Details |
| numba-0.44.0-cp35-cp35m-manylinux1_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numba-0.44.0-cp35-cp35m-manylinux1_i686.whl | CPython 3.5 | CPython 3.5 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| numba-0.44.0-cp35-cp35m-macosx_10_9_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | macOS 10.9+ x86-64 | Details |
| numba-0.44.0-cp27-cp27mu-manylinux1_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc wide-unicode | Linux glibc 2.5+ x86-64 | Details |
| numba-0.44.0-cp27-cp27mu-manylinux1_i686.whl | CPython 2.7 | CPython 2.7 pymalloc wide-unicode | Linux glibc 2.5+ x86-32 | Details |
| numba-0.44.0-cp27-cp27m-win_amd64.whl | CPython 2.7 | CPython 2.7 pymalloc | Windows x86-64 | Details |
| numba-0.44.0-cp27-cp27m-win32.whl | CPython 2.7 | CPython 2.7 pymalloc | Windows x86-32 | Details |
| numba-0.44.0-cp27-cp27m-macosx_10_9_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc | macOS 10.9+ x86-64 | Details |
Total release size: 50.0 MB
Release files / numba-0.44.0.tar.gz
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Release files / numba-0.44.0-cp37-cp37m-win_amd64.whl
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Release files / numba-0.44.0-cp37-cp37m-win32.whl
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Release files / numba-0.44.0-cp37-cp37m-manylinux1_x86_64.whl
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Release files / numba-0.44.0-cp37-cp37m-manylinux1_i686.whl
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Release files / numba-0.44.0-cp37-cp37m-macosx_10_9_x86_64.whl
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Release files / numba-0.44.0-cp36-cp36m-win_amd64.whl
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Release files / numba-0.44.0-cp36-cp36m-win32.whl
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Release files / numba-0.44.0-cp36-cp36m-manylinux1_x86_64.whl
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Release files / numba-0.44.0-cp36-cp36m-manylinux1_i686.whl
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Release files / numba-0.44.0-cp36-cp36m-macosx_10_9_x86_64.whl
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Release files / numba-0.44.0-cp35-cp35m-win_amd64.whl
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Release files / numba-0.44.0-cp35-cp35m-manylinux1_x86_64.whl
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Release files / numba-0.44.0-cp27-cp27m-win_amd64.whl
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Release files / numba-0.44.0-cp27-cp27m-win32.whl
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59b73a69336b4acf4f9e3b490ccb468406a75f95fbcc92b46afa6297beaa1f1a
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twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2
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Release files / numba-0.44.0-cp27-cp27m-macosx_10_9_x86_64.whl
| Download URL | numba-0.44.0-cp27-cp27m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
372acfc202ed279d51698390d2c59a3e5ed4e03c04500a90c0847d04a09ddf83
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BLAKE2b-256 checksum How to use checksums |
d1739c93d7c8ef6832ea240a24a781c98f05ed0b2550bd818e4c6a35eb3bc999
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2
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