Metadata-Version: 2.1 Name: numba Version: 0.59.1 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 :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Topic :: Software Development :: Compilers Requires-Python: >=3.9 License-File: LICENSE License-File: LICENSES.third-party Requires-Dist: llvmlite <0.43,>=0.42.0dev0 Requires-Dist: numpy <1.27,>=1.22 ***** Numba ***** .. image:: https://badges.gitter.im/numba/numba.svg :target: https://gitter.im/numba/numba?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge :alt: Gitter .. image:: https://img.shields.io/badge/discuss-on%20discourse-blue :target: https://numba.discourse.group/ :alt: Discourse .. image:: https://zenodo.org/badge/3659275.svg :target: https://zenodo.org/badge/latestdoi/3659275 :alt: Zenodo DOI .. image:: https://img.shields.io/pypi/v/numba.svg :target: https://pypi.python.org/pypi/numba/ :alt: PyPI .. image:: https://dev.azure.com/numba/numba/_apis/build/status/numba.numba?branchName=main :target: https://dev.azure.com/numba/numba/_build/latest?definitionId=1?branchName=main :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