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| NumPy is a package that defines a multi-dimensional array object and associated fast math functions that operate on it. It also provides simple routines for linear algebra and fft and sophisticated random-number generation. NumPy replaces both Numeric and Numarray. https://numeric.scipy.org | NumPy is a package that defines a multi-dimensional array object and associated fast math functions that operate on it. It also provides simple routines for linear algebra and fft and sophisticated random-number generation. NumPy replaces both Numeric and Numarray. https://www.scipy.org and https://numeric.scipy.org |
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| The documentation for NumPy is being sold for a fee. The link to the free documentation is hard to find due to numpy.sourceforge.net (currently to a broken link). The free documentation is also not included in the distribution. Try here: https://numpy.sourceforge.net/numdoc/ |
A very complete manual by the principal author of Numpy, Travis Oliphant, is being [https://www.trelgol.com/ sold] for a fee. Note that the online documentation via docstring is rather complete and not stripped in any way. The manual for Numpy's predecessor Numeric is mostly still valid and freely available from [https://numeric.scipy.org/numpydoc/numdoc.htm here] or [https://numpy.sourceforge.net/numdoc/ here]. Further documentation is available from https://www.scipy.org/Documentation |
NumPy is a package that defines a multi-dimensional array object and associated fast math functions that operate on it. It also provides simple routines for linear algebra and fft and sophisticated random-number generation. NumPy replaces both Numeric and Numarray. https://www.scipy.org and https://numeric.scipy.org
A very complete manual by the principal author of Numpy, Travis Oliphant, is being [https://www.trelgol.com/ sold] for a fee. Note that the online documentation via docstring is rather complete and not stripped in any way. The manual for Numpy's predecessor Numeric is mostly still valid and freely available from [https://numeric.scipy.org/numpydoc/numdoc.htm here] or [https://numpy.sourceforge.net/numdoc/ here]. Further documentation is available from https://www.scipy.org/Documentation