Skip to main content

compiling Python code using LLVM

Project description

Gitter Discourse Zenodo DOI PyPI Azure Pipelines

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:

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numba-0.56.2.tar.gz (2.4 MB view hashes)

Uploaded Source

Built Distributions

numba-0.56.2-cp310-cp310-win_amd64.whl (2.5 MB view hashes)

Uploaded CPython 3.10 Windows x86-64

numba-0.56.2-cp310-cp310-win32.whl (2.5 MB view hashes)

Uploaded CPython 3.10 Windows x86

numba-0.56.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

numba-0.56.2-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl (3.2 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

numba-0.56.2-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.4 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

numba-0.56.2-cp310-cp310-macosx_11_0_arm64.whl (2.5 MB view hashes)

Uploaded CPython 3.10 macOS 11.0+ ARM64

numba-0.56.2-cp310-cp310-macosx_10_14_x86_64.whl (2.5 MB view hashes)

Uploaded CPython 3.10 macOS 10.14+ x86-64

numba-0.56.2-cp39-cp39-win_amd64.whl (2.5 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

numba-0.56.2-cp39-cp39-win32.whl (2.5 MB view hashes)

Uploaded CPython 3.9 Windows x86

numba-0.56.2-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

numba-0.56.2-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl (3.2 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

numba-0.56.2-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.4 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

numba-0.56.2-cp39-cp39-macosx_11_0_arm64.whl (2.4 MB view hashes)

Uploaded CPython 3.9 macOS 11.0+ ARM64

numba-0.56.2-cp39-cp39-macosx_10_14_x86_64.whl (2.4 MB view hashes)

Uploaded CPython 3.9 macOS 10.14+ x86-64

numba-0.56.2-cp38-cp38-win_amd64.whl (2.5 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

numba-0.56.2-cp38-cp38-win32.whl (2.5 MB view hashes)

Uploaded CPython 3.8 Windows x86

numba-0.56.2-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

numba-0.56.2-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl (3.2 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

numba-0.56.2-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.4 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

numba-0.56.2-cp38-cp38-macosx_11_0_arm64.whl (2.4 MB view hashes)

Uploaded CPython 3.8 macOS 11.0+ ARM64

numba-0.56.2-cp38-cp38-macosx_10_14_x86_64.whl (2.4 MB view hashes)

Uploaded CPython 3.8 macOS 10.14+ x86-64

numba-0.56.2-cp37-cp37m-win_amd64.whl (2.5 MB view hashes)

Uploaded CPython 3.7m Windows x86-64

numba-0.56.2-cp37-cp37m-win32.whl (2.5 MB view hashes)

Uploaded CPython 3.7m Windows x86

numba-0.56.2-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

numba-0.56.2-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl (3.1 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

numba-0.56.2-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.4 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

numba-0.56.2-cp37-cp37m-macosx_10_14_x86_64.whl (2.4 MB view hashes)

Uploaded CPython 3.7m macOS 10.14+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page