85 lines
2.6 KiB
Plaintext
85 lines
2.6 KiB
Plaintext
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Metadata-Version: 2.1
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Name: numba
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Version: 0.59.1
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Summary: compiling Python code using LLVM
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Home-page: https://numba.pydata.org
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License: BSD
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Classifier: Development Status :: 4 - Beta
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Topic :: Software Development :: Compilers
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Requires-Python: >=3.9
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License-File: LICENSE
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License-File: LICENSES.third-party
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Requires-Dist: llvmlite <0.43,>=0.42.0dev0
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Requires-Dist: numpy <1.27,>=1.22
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*****
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Numba
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*****
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.. image:: https://badges.gitter.im/numba/numba.svg
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:target: https://gitter.im/numba/numba?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge
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:alt: Gitter
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.. image:: https://img.shields.io/badge/discuss-on%20discourse-blue
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:target: https://numba.discourse.group/
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:alt: Discourse
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.. image:: https://zenodo.org/badge/3659275.svg
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:target: https://zenodo.org/badge/latestdoi/3659275
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:alt: Zenodo DOI
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.. image:: https://img.shields.io/pypi/v/numba.svg
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:target: https://pypi.python.org/pypi/numba/
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:alt: PyPI
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.. image:: https://dev.azure.com/numba/numba/_apis/build/status/numba.numba?branchName=main
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:target: https://dev.azure.com/numba/numba/_build/latest?definitionId=1?branchName=main
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:alt: Azure Pipelines
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A Just-In-Time Compiler for Numerical Functions in Python
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#########################################################
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Numba is an open source, NumPy-aware optimizing compiler for Python sponsored
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by Anaconda, Inc. It uses the LLVM compiler project to generate machine code
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from Python syntax.
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Numba can compile a large subset of numerically-focused Python, including many
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NumPy functions. Additionally, Numba has support for automatic
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parallelization of loops, generation of GPU-accelerated code, and creation of
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ufuncs and C callbacks.
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For more information about Numba, see the Numba homepage:
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https://numba.pydata.org and the online documentation:
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https://numba.readthedocs.io/en/stable/index.html
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Installation
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============
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Please follow the instructions:
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https://numba.readthedocs.io/en/stable/user/installing.html
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Demo
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====
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Please have a look and the demo notebooks via the mybinder service:
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https://mybinder.org/v2/gh/numba/numba-examples/master?filepath=notebooks
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Contact
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=======
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Numba has a discourse forum for discussions:
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* https://numba.discourse.group
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