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自学教程:非官方插件工具包大全

51自学网 2019-09-28 09:33:39
  学术与代码
这篇教程非官方插件工具包大全写得很实用,希望能帮到您。

Unofficial Windows Binaries for Python Extension Packages

by Christoph GohlkeLaboratory for Fluorescence DynamicsUniversity of California, Irvine.

Updated on 27 September 2019 at 17:42 UTC.

This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language. A few binaries are available for the PyPy distribution.

The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes.

Most binaries are built from source code found on PyPI or in the projects public revision control systems. Source code changes, if any, have been submitted to the project maintainers or are included in the packages.

Refer to the documentation of the individual packages for license restrictions and dependencies.

If downloads fail, reload this page, enable JavaScript, disable download managers, disable proxies, clear cache, use Firefox, reduce number and frequency of downloads. Please only download files manually as needed.

Use pip version 19.2 or newer to install the downloaded .whl files. This page is not a pip package index.

Many binaries depend on numpy-1.16+mkl and the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019 for Python 3, or the Microsoft Visual C++ 2008 Redistributable Package x64x86, and SP1 for Python 2.7.

Install numpy+mkl before other packages that depend on it.

The binaries are compatible with the most recent official CPython distributions on Windows >=6.0. Chances are they do not work with custom Python distributions included with Blender, Maya, ArcGIS, OSGeo4W, ABAQUS, Cygwin, Pythonxy, Canopy, EPD, Anaconda, WinPython etc. Many binaries are not compatible with Windows XP or Wine.

The packages are ZIP or 7z files, which allows for manual or scripted installation or repackaging of the content.

The files are provided "as is" without warranty or support of any kind. The entire risk as to the quality and performance is with you.

The opinions or statements expressed on this page should not be taken as a position or endorsement of the Laboratory for Fluorescence Dynamics or the University of California.


  1. Index by date:
  2.  
  3. osqp
  4.  
  5. ruamel.yaml
  6.  
  7. fisher
  8.  
  9. gensim
  10.  
  11. pillow
  12.  
  13. pymol
  14.  
  15. sounddevice
  16.  
  17. opentsne
  18.  
  19. matplotlib
  20.  
  21. pymatgen
  22.  
  23. open3d

  24. 人工智能深度学习系列网站
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