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‎.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 9236536fab9968adb92a4a7e268edbbc
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tags: 645f666f9bcd5a90fca523b33c5a78b7

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‎CNAME

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www.numpy.org

‎_downloads/f791151fcaf90cb7ef869af2d159341e/numeric-manual.pdf

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‎_sources/community.rst.txt

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The NumPy community
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-------------------
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The community of NumPy users and developers is large and decentraliazed. We
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try to direct certain conversations to certain channels.
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1. Use the `#numpy tag on StackOverflow <http://stackoverflow.com/questions/tagged/numpy>`__
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for *usage* questions (like "How do I do *X* in NumPy?").
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2. Use the `GitHub issue tracker <https://github.com/numpy/numpy/issues>`__ for
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- **Bug reports** (like "``np.arange(3).shape`` returns ``(5,)``, when it should return ``(3,)``.")
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- **Documentation issues** (like "I found this section unclear")
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- **Feature requests** (like "I would like to have a new interpolation method in ``np.percentile``.")
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3. Use the `NumPy mailing list <https://mail.python.org/mailman/listinfo/numpy-discussion>`__
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for longer-form discussion items. This is for things that concern the
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broader NumPy community. Most users probably don't care about an obscure
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edge-case in ``np.polynomial.Legendre`` (which should be reported on the
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issue tracker), but may care about larger-picture things like
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- How should we have discussions about NumPy and the community?
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- Developing or adding items to a NumPy roadmap
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- Announcing sprints or conference talks
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- Changes to the development workflow
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- Announcements for NumPy releases and developer meetings
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- ...
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To learn more about how to contribute to the ongoing development of *NumPy*,
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please check out our `contributing guidelines <https://docs.scipy.org/doc/numpy/dev/#contributing-to-numpy>`_.
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For deeper development discussions related to the direction of the project, you
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can join the `mailing list <https://mail.python.org/mailman/listinfo/numpy-discussion>`__.
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‎_sources/conduct.rst.txt

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.. _conduct:
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NumPy Code of Conduct
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=====================
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NumPy has a Code of Conduct, please see: https://www.numpy.org/devdocs/dev/conduct/code_of_conduct.html
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‎_sources/index.rst.txt

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NumPy
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=====
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.. toctree::
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:hidden:
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community
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license
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conduct
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old_array_packages
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NumPy is the fundamental package for scientific computing with Python.
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It contains among other things:
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- a powerful N-dimensional array object
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- sophisticated (broadcasting) functions
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- tools for integrating C/C++ and Fortran code
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- useful linear algebra, Fourier transform, and random number capabilities
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Besides its obvious scientific uses, NumPy can also be used as an efficient
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multi-dimensional container of generic data. Arbitrary data-types can be
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defined. This allows NumPy to seamlessly and speedily integrate with a wide
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variety of databases.
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NumPy is licensed under the :ref:`BSD license <license>`, enabling reuse with
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few restrictions.
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Getting Started
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---------------
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To install NumPy, we strongly recommend using a
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*scientific Python distribution*. See
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`Installing the SciPy Stack <https://www.scipy.org/install.html>`__ for
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details.
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Many high quality online tutorials, courses, and books are available to get
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started with NumPy. For a quick introduction to NumPy we provide the
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`NumPy Tutorial <https://www.numpy.org/devdocs/user/quickstart.html>`__. We
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also recommend the `SciPy Lecture Notes <https://scipy-lectures.org>`__ for a
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broader introduction to the scientific Python ecosystem.
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For more information on the SciPy Stack (for which NumPy provides the
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fundamental array data structure), see `scipy.org <https://www.scipy.org/>`__.
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Documentation
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-------------
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The most up-to-date NumPy documentation can be found at
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`Latest (development) version <https://www.numpy.org/devdocs>`__.
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It includes a user guide, full reference documentation, a developer guide, meta
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information, and "NumPy Enhancement Proposals" (which include the NumPy Roadmap
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and detailed plans for major new features).
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A complete archive of documentation for all NumPy releases (minor versions; bug
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fix releases don't contain significant documentation changes) since 2009 can be
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found at https://docs.scipy.org.
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Support NumPy
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-------------
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If you have found NumPy to be useful in your work, research or company, please
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consider making a donation to the project commensurate with your resources. Any
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amount helps! All donations will be used strictly to fund the development of
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NumPy’s open source software, documentation and community.
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Donations are managed by the NumFOCUS Foundation, which is the legal and fiscal
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umbrella for the project. NumFOCUS is a 501(c)3 non-profit foundation, so if
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you are subject to US Tax law, your contribution is tax-deductible.
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NumPy's `Steering Council <https://www.numpy.org/devdocs/dev/governance/index.html>`__
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will make the decisions on how to best use any funds received. Technical and
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infrastructure priorities are documented on the
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`NumPy Roadmap <https://www.numpy.org/neps/roadmap.html>`__.
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.. raw:: html
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<div>
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<ul class="thumbnails">
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<li class="span4">
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<div class="pull-left img">
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<a href="https://numfocus.org/sponsored-projects">
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<img alt="NumFOCUS" src="_static/NumFOCUS_sponsored_project.png" width="180">
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</a>
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</div>
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</li>
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<li class="span4">
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<div style="padding-top:2px; padding-bottom:2px; text-align:center; margin:0px auto;">
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<div style="display: inline-block; float:left; margin-left:1em;">
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<a href="https://numfocus.salsalabs.org/donate-to-numpy" target="_blank"
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style="background:#FFA500;padding:10px;margin:1px 0px;
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text-decoration:none;font-size:12pt;color:#222222;
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font-family:Arial,Helvetica,sans-serif;display:inline-block;">
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Donate Now!
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</a>
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</div>
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</div>
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</li>
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</ul>
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</div>
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Institutional Partners
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~~~~~~~~~~~~~~~~~~~~~~
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Institutional Partners are organizations that support the project by employing
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NumPy contributors, with contributing to the project as part of their official
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duties. Current Institutional Partners include:
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.. raw:: html
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<div>
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<ul class="thumbnails">
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<li class="span4">
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<div class="pull-left img">
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<a href="https://www.berkeley.edu/">
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<img alt="Berkeley" src="_static/berkeley-color.svg" width="180">
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</a>
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</div>
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</li>
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<li class="span4">
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<div class="pull-left img">
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<a href="https://quansight.com">
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<img alt="Quansight" src="_static/quansight.svg" width="180">
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</a>
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</div>
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</li>
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</ul>
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</div>
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Sponsors
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~~~~~~~~
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NumPy receives direct funding from the following sources:
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.. raw:: html
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<div>
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<ul class="thumbnails">
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<li class="span4">
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<div class="pull-left img">
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<a href="https://www.moore.org/">
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<img alt="Gordon and Betty Moore Foundation" src="_static/moore.svg" width="180">
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</a>
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</div>
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</li>
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<li class="span4">
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<div class="pull-left img">
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<a href="https://www.sloan.org/">
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<img alt="Alfred P. Sloan Foundation" src="_static/sloan.svg" width="180">
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</a>
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</div>
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</li>
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<li class="span4">
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<div class="pull-left img">
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<a href="https://tidelift.com/subscription/pkg/pypi-numpy?utm_source=pypi-numpy&utm_medium=referral&utm_campaign=website">
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<img alt="Tidelift" src="_static/Tidelift_Logos_RGB_Tidelift_Mark_On-White.png" width="180">
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</a>
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</div>
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</li>
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</ul>
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</div>
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‎_sources/license.rst.txt

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.. _license:
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NumPy license
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=============
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| Copyright © 2005-|today|, NumPy Developers.
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| All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above
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copyright notice, this list of conditions and the following
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disclaimer in the documentation and/or other materials provided
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with the distribution.
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* Neither the name of the NumPy Developers nor the names of any
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contributors may be used to endorse or promote products derived
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from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

‎_sources/old_array_packages.rst.txt

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====================
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Older Array Packages
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====================
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Below is a very brief history of NumPy and the array packages that were important
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to its development. These older array packages are no longer maintained, and users
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are strongly advised to use NumPy for any array-related purposes or refactor any
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pre-existing code to utilize the NumPy library.
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History of NumPy
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================
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NumPy derives from an old library called Numeric, which was the first array object
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built for Python. It was quite successful and was used in a variety of applications
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before being phased out. NumPy also incorporates features introduced by a library
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called Numarray, which was written after Numeric but before NumPy.
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When NumPy was first written, it wasn't actually called "NumPy". For about 6 months at
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the end of 2005, NumPy was called SciPy Core (not to be confused with the full SciPy
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package which remains a `separate <https://www.scipy.org/>`_ package). However, it was
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decided in January 2006 to go with the historical name of NumPy for the new package.
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SourceForge Links
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=================
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If for any reason you want to obtain a copy of the original Numeric and Numarray libraries,
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you can download them from SourceForge using the links below:
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`Download Page for Numeric
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<https://sourceforge.net/projects/numpy/files/Old%20Numeric/>`__
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`Download Page for Numarray
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<https://sourceforge.net/projects/numpy/files/Old%20Numarray/>`__
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Historic Documentation
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======================
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:download:`Numeric Manual <_static/numeric-manual.pdf>`

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