scipy  1.7.0rc1
About: SciPy are tools for mathematics, science, and engineering (for Python). Release candidate.
  Fossies Dox: scipy-1.7.0rc1.tar.gz  ("unofficial" and yet experimental doxygen-generated source code documentation)  

scipy Documentation

Some Fossies usage hints in advance:

  1. To see the Doxygen generated documentation please click on one of the items in the steelblue colored "quick index" bar above or use the side panel at the left which displays a hierarchical tree-like index structure and is adjustable in width.
  2. If you want to search for something by keyword rather than browse for it you can use the client side search facility (using Javascript and DHTML) that provides live searching, i.e. the search results are presented and adapted as you type in the Search input field at the top right.
  3. Doxygen doesn't incorporate all member files but just a definable subset (basically the main project source code files that are written in a supported language). So to search and browse all member files you may visit the Fossies scipy-1.7.0rc1.tar.gz contents page and use the Fossies standard member browsing features (also with source code highlighting and additionally with optional code folding).
README.rst

SciPy logo SciPy

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SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

SciPy is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines, such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

For the installation instructions, see our install guide.

Call for Contributions

We appreciate and welcome contributions. Small improvements or fixes are always appreciated; issues labeled as "good first issue" may be a good starting point. Have a look at our contributing guide.

Writing code isn’t the only way to contribute to SciPy. You can also:

  • review pull requests
  • triage issues
  • develop tutorials, presentations, and other educational materials
  • maintain and improve our website
  • develop graphic design for our brand assets and promotional materials
  • help with outreach and onboard new contributors
  • write grant proposals and help with other fundraising efforts

If you’re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by leaving a comment on a relevant issue that is already open.

If you are new to contributing to open source, this guide helps explain why, what, and how to get involved.

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