Metadata-Version: 2.4
Name: numba
Version: 0.65.0
Summary: compiling Python code using LLVM
Home-page: https://numba.pydata.org
License: BSD
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Software Development :: Compilers
Requires-Python: >=3.10
License-File: LICENSE
License-File: LICENSES.third-party
Requires-Dist: llvmlite<0.48,>=0.47.0dev0
Requires-Dist: numpy>=1.22
Requires-Dist: numpy<2.5,>=1.22
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

*****
Numba
*****

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.. image:: https://dev.azure.com/numba/numba/_apis/build/status/numba.numba?branchName=main
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    :alt: 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:

* https://numba.discourse.group

