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This is the Trac page for NumPy. SciPy development takes place here.

}}} This is the "hard-hat" area for !NumPy development. Here we track issues, document design decisions, outline areas of !NumPy that needs work, etc. {{{ #!html

Quick Start

}}} In order to create or edit wiki pages and tickets, you need to [http://projects.scipy.org/numpy/register register first]. * [http://projects.scipy.org/numpy/newticket File a bug report or feature request] * [http://docs.scipy.org/numpy/Front%20Page/#introduction Write documentation] = Development = * [https://github.com/numpy/numpy NumPy GitHub repository] * [http://docs.scipy.org/doc/numpy/dev/ NumPy development guide] * [https://github.com/numpy/numpy/pulls Review pull requests] * [https://github.com/numpy/numpy/blob/master/doc/TESTS.rst.txt Testing guidelines] * DevelopmentTips = Release management = * [https://github.com/numpy/numpy/blob/master/doc/HOWTO_RELEASE.rst.txt Making releases] * ApiDeprecation = Reference = * [http://docs.scipy.org/doc/numpy/reference/ NumPy reference] * [http://docs.scipy.org/doc/numpy/reference/c-api.html NumPy C-API reference] * [https://github.com/numpy/numpy/blob/master/doc/C_STYLE_GUIDE.rst.txt C coding style guidelines] * [https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt Documentation style guidelines] * [https://github.com/numpy/numpy/blob/master/doc/DISTUTILS.rst.txt numpy.distutils doc] = Tools = * EmacsSetup * [http://svn.python.org/view/python/trunk/Tools/scripts/reindent.py?view=markup `reindent` and other scripts from the Python repository] = Plans = * DocDays * ProjectIdeas * [wiki:G3F2PY] * [http://www.python.org/dev/peps/pep-3118/ BufferPEP] * ZeroRankArray * ZeroStrideArray * MaskedArray * MaskedArrayAlternative * MaskedArrayApiChanges * TransitionStories * PossibleOptimizationAreas * NumScons * DistutilsRevamp * ProperNanHandling * MicrosoftToolchainSupport (python 2.6, 64 bits, Visual studio 2005/2008) * ImprovingIssueWorkflow * NumPyRefactoring * NdarrayWithNamedAxes = Hacking Notes = Various comments about the internal structure of the numpy code. * DtypeKinds * GitMigrationProposal * [http://docs.scipy.org/doc/numpy/dev/gitwash/ Developing NumPy with git] * Git: rebase or merge? http://article.gmane.org/gmane.comp.video.dri.devel/34744