numba

compiling Python code using LLVM

Development Status
- 4 - Beta
Intended Audience
- Developers
License
- OSI Approved :: BSD License
Operating System
- OS Independent
Programming Language
Topic
- Software Development :: Compilers

Project description

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: https://numba.pydata.org and the online documentation: https://numba.readthedocs.io/en/stable/index.html

Installation

Please follow the instructions:

https://numba.readthedocs.io/en/stable/user/installing.html

Demo

Please have a look and the demo notebooks via the mybinder service:

https://mybinder.org/v2/gh/numba/numba-examples/master?filepath=notebooks

Contact

Numba has a discourse forum for discussions:

https://numba.discourse.group

Project details

Development Status
- 4 - Beta
Intended Audience
- Developers
License
- OSI Approved :: BSD License
Operating System
- OS Independent
Programming Language
Topic
- Software Development :: Compilers

Release history Release notifications | RSS feed

0.58.0

Sep 21, 2023

0.58.0rc2 pre-release

Sep 12, 2023

0.58.0rc1 pre-release

Aug 18, 2023

0.57.1

Jun 21, 2023

0.57.1rc1 pre-release

Jun 12, 2023

0.57.0

May 2, 2023

0.57.0rc1 pre-release

Apr 6, 2023

0.56.4

Nov 4, 2022

0.56.3

Oct 14, 2022

This version

0.56.2

Sep 2, 2022

0.56.0

Jul 26, 2022

0.56.0rc1 pre-release

Jun 29, 2022

0.55.2

May 26, 2022

0.55.1

Jan 27, 2022

0.55.0

Jan 14, 2022

0.55.0rc1 pre-release

Dec 16, 2021

0.54.1

Oct 8, 2021

0.54.1rc1 pre-release

Sep 24, 2021

0.54.0

Aug 20, 2021

0.54.0rc3 pre-release

Aug 5, 2021

0.54.0rc2 pre-release

Jul 19, 2021

0.53.1

Mar 26, 2021

0.53.0

Mar 12, 2021

0.53.0rc3 pre-release

Mar 5, 2021

0.53.0rc2 pre-release

Feb 26, 2021

0.53.0rc1.post1 pre-release

Feb 9, 2021

0.52.0

Dec 1, 2020

0.52.0rc3 pre-release

Nov 19, 2020

0.52.0rc2 pre-release

Oct 30, 2020

0.51.2

Sep 3, 2020

0.51.1

Aug 27, 2020

0.51.0

Aug 14, 2020

0.51.0rc1 pre-release

Aug 6, 2020

0.50.1

Jun 25, 2020

0.50.0

Jun 11, 2020

0.50.0rc1 pre-release

Jun 4, 2020

0.49.1

May 8, 2020

0.49.1rc1 pre-release

May 1, 2020

0.49.0

Apr 17, 2020

0.48.0

Jan 29, 2020

0.47.0

Jan 3, 2020

0.46.0

Oct 10, 2019

0.45.1

Aug 2, 2019

0.45.0

Jul 19, 2019

0.44.1

Jun 18, 2019

0.44.0

May 30, 2019

0.43.1

Mar 26, 2019

0.43.0

Mar 13, 2019

0.42.1

Feb 1, 2019

0.42.0

Dec 31, 2018

0.41.0

Nov 28, 2018

0.40.1

Oct 10, 2018

0.40.0

Sep 21, 2018

0.39.0

Jul 10, 2018

0.38.1

Jun 1, 2018

0.38.0

Apr 24, 2018

0.37.0

Feb 19, 2018

0.36.2

Dec 20, 2017

0.36.1

Dec 8, 2017

0.35.0

Sep 8, 2017

0.34.0

Jul 7, 2017

0.33.0

May 8, 2017

0.32.0

Apr 10, 2017

0.31.0

Feb 17, 2017

0.30.1

Jan 13, 2017

0.30.0

Dec 22, 2016

0.29.0

Oct 19, 2016

0.28.1

Aug 31, 2016

0.27.0

Jul 11, 2016

0.26.0

May 23, 2016

0.25.0

Apr 4, 2016

0.24.0

Mar 3, 2016

0.23.1

Jan 21, 2016

0.23.0

Jan 14, 2016

0.22.1

Nov 4, 2015

0.22.0

Oct 30, 2015

0.21.0

Sep 14, 2015

0.20.0

Jul 2, 2015

0.19.2

Jun 9, 2015

0.19.1

Jun 5, 2015

0.18.2

Apr 9, 2015

0.18.1

Apr 3, 2015

0.17.0

Feb 4, 2015

0.16.0

Dec 16, 2014

0.15.1

Oct 15, 2014

0.14.0

Sep 11, 2014

0.13.4

Aug 1, 2014

0.13.3

Jul 11, 2014

0.13.2

Jun 9, 2014

0.13.0

Mar 21, 2014

0.12.2

Mar 4, 2014

0.12.1

Feb 20, 2014

0.12.0

Feb 10, 2014

0.11.0

Sep 26, 2013

0.10.1

Sep 4, 2013

0.10.0

Aug 5, 2013

0.9.0

Jun 4, 2013

0.8.1

May 3, 2013

0.8.0

Apr 16, 2013

0.7.2

Mar 20, 2013

0.7.1

Mar 11, 2013

0.7.0

Mar 4, 2013

0.6.0

Feb 5, 2013

0.5.0

Jan 19, 2013

0.3

Nov 11, 2012

0.2

Oct 4, 2012

0.1

Aug 15, 2012

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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Hashes for numba-0.56.2-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
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Algorithm	Hash digest
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Hashes for numba-0.56.2-cp38-cp38-win32.whl
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Algorithm	Hash digest
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Algorithm	Hash digest
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Hashes for numba-0.56.2-cp37-cp37m-win32.whl
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MD5	`892b825da6004c4f184f7fc43c40bfff`
BLAKE2b-256	`1dfc4fbeb1ce5c0e0948e699f9f6b56c84f9ea0572c0e0bf99fcd66205e7e299`

Hashes for numba-0.56.2-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Hashes for numba-0.56.2-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm	Hash digest
SHA256	`8a8e35d9b86d33c2f77e50fd8a610b984f57005e1cd1a2c8267d4cfd743d8f49`
MD5	`d105718b6f427f8c31d223a2fe51c3da`
BLAKE2b-256	`7a913ad73663cff10942f2cde4e042e43389792261470820f61e449061af1a7e`

Hashes for numba-0.56.2-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl

Hashes for numba-0.56.2-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl
Algorithm	Hash digest
SHA256	`2a1d81994bedc0e02f900ea4b81bdfd4929ee844f6ef9242e196c50f30f95449`
MD5	`0f7d5c3f737fb54712710eb73fbf405a`
BLAKE2b-256	`f6f53cc9a228238efc485d9c87d0441b9cb901ea19870c66f02d5bde7c65ddab`

Hashes for numba-0.56.2-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Hashes for numba-0.56.2-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Algorithm	Hash digest
SHA256	`d216a8957057afa43374eb9a11c69a874424d33e20f4270f80cef878c7efa500`
MD5	`d035b121f4033cf4eaf80c567fc27971`
BLAKE2b-256	`37c081af1ae6f5a4e2f50dc0e2f5d97bfacbb6f29ab65e70b55226c8b19ebfd9`

Hashes for numba-0.56.2-cp37-cp37m-macosx_10_14_x86_64.whl

Hashes for numba-0.56.2-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm	Hash digest
SHA256	`c011436c8e0ec7e37fbb81953537ceb659e662f7c7f9850f2638a100e857bee4`
MD5	`a8695e9ab890ab0637fd9d39a2d0da5d`
BLAKE2b-256	`2075f693805063c6f15569e42859b88fa48084f879df1efd82cc48b02eebeff7`