ppc64le/linux/: numba-0.62.1+ppc64le1 metadata and description

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compiling Python code using LLVM

classifiers
  • Development Status :: 4 - Beta
  • Intended Audience :: Developers
  • License :: OSI Approved :: BSD License
  • Operating System :: OS Independent
  • Programming Language :: Python
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
  • Programming Language :: Python :: 3.13
  • Topic :: Software Development :: Compilers
  • Environment :: MetaData :: IBM Python Ecosystem
dynamic summary
license BSD
license_file LICENSES.third-party
requires_dist
  • llvmlite<0.46,>=0.45.0dev0
  • numpy<2.4,>=1.22
requires_python >=3.10
File Tox results History
numba-0.62.1+ppc64le1-cp311-cp311-manylinux_2_34_ppc64le.whl
Size
3 MB
Type
Python Wheel
Python
3.11
numba-0.62.1+ppc64le1-cp312-cp312-manylinux_2_34_ppc64le.whl
Size
3 MB
Type
Python Wheel
Python
3.12
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:

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