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It includes modules for statistics, optimization,\nintegration, linear algebra, Fourier transforms, signal and image processing,\nODE solvers, and more.\n\n- **Website:** https://scipy.org\n- **Documentation:** https://docs.scipy.org/doc/scipy/\n- **Development version of the documentation:** https://scipy.github.io/devdocs\n- **SciPy development forum:** https://discuss.scientific-python.org/c/contributor/scipy\n- **Stack Overflow:** https://stackoverflow.com/questions/tagged/scipy\n- **Source code:** https://github.com/scipy/scipy\n- **Contributing:** https://scipy.github.io/devdocs/dev/index.html\n- **Bug reports:** https://github.com/scipy/scipy/issues\n- **Code of Conduct:** https://docs.scipy.org/doc/scipy/dev/conduct/code_of_conduct.html\n- **Report a security vulnerability:** https://tidelift.com/docs/security\n- **Citing in your work:** https://www.scipy.org/citing-scipy/\n\nSciPy is built to work with\nNumPy arrays, and provides many user-friendly and efficient numerical routines,\nsuch as routines for numerical integration and optimization. Together, they\nrun on all popular operating systems, are quick to install, and are free of\ncharge. NumPy and SciPy are easy to use, but powerful enough to be depended\nupon by some of the world's leading scientists and engineers. If you need to\nmanipulate numbers on a computer and display or publish the results, give\nSciPy a try!\n\nFor the installation instructions, see `our install\nguide \u003chttps://scipy.org/install/\u003e`__.\n\n\nCall for Contributions\n----------------------\n\nWe appreciate and welcome contributions. Small improvements or fixes are always appreciated; issues labeled as \"good\nfirst issue\" may be a good starting point. Have a look at `our contributing\nguide \u003chttps://scipy.github.io/devdocs/dev/index.html\u003e`__.\n\nWriting code isn’t the only way to contribute to SciPy. 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