Please note: This wiki is currently running in test mode after an attack on January 5 2013. All passwords were reset, so you will have to use the password recovery function to get a new password. To edit wiki pages, please log in first. See the wiki attack description page for more details. If you find problems, please report them to the pydotorg-www mailing list.

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. http://www.scipy.org and http://numeric.scipy.org

A very complete manual by the principal author of Numpy, Travis Oliphant, is available for free (although donations are accepted). 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 here or here. Further documentation is available from http://www.scipy.org/Documentation

numpy Examples

NumPy (last edited 2008-11-15 13:59:42 by localhost)