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Publishing Site numpy.org at 09a1c083ca1492c8fcf65d200107ee096eee7d65 on Sat Oct 2 17:42:01 UTC 2021
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‎about/index.html‎

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<a href=/learn id=navbar-item class="navbar-item is-secondary">Learn</a>
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<a href=/community id=navbar-item class="navbar-item is-secondary">Community</a>
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<a href=/about id=navbar-item class="navbar-item is-secondary">About Us</a>
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<a href=/contribute id=navbar-item class="navbar-item is-secondary">Contribute</a></div></div></div></nav><section class="content-padding flex-row"><div class=shortcuts-container><div class=shortcuts-title>Shortcuts</div><div id=shortcuts></div><div class=sidebar-links><a href=/gethelp>Get Help</a></div></div><div class=content-container><div class=columns><div class="column is-centered-tablet-portrait"><h1 class="title section-title">About Us</h1><h5 class="subtitle is-5 is-muted"></h5><div class=divider></div></div></div><p><em>Some information about the NumPy project and community</em></p><p>NumPy is an open source project aiming to enable numerical computing with Python. It was created in 2005, building on the early work of the Numeric and Numarray libraries. NumPy will always be 100% open source software, free for all to use and released under the liberal terms of the <a href=https://github.com/numpy/numpy/blob/master/LICENSE.txt>modified BSD license</a>.</p><p>NumPy is developed in the open on GitHub, through the consensus of the NumPy and wider scientific Python community. For more information on our governance approach, please see our <a href=https://www.numpy.org/devdocs/dev/governance/index.html>Governance Document</a>.</p><h2 id=steering-council>Steering Council</h2><p>The role of the NumPy Steering Council is to ensure, through working with and serving the broader NumPy community, the long-term well-being of the project, both technically and as a community. The NumPy Steering Council currently consists of the following members (in alphabetical order):</p><ul><li>Sebastian Berg</li><li>Ralf Gommers</li><li>Charles Harris</li><li>Stephan Hoyer</li><li>Melissa Weber Mendonça</li><li>Inessa Pawson</li><li>Matti Picus</li><li>Stéfan van der Walt</li><li>Eric Wieser</li></ul><p>Emeritus:</p><ul><li>Travis Oliphant (project founder, 2005-2012)</li><li>Alex Griffing (2015-2017)</li><li>Marten van Kerkwijk (2017-2019)</li><li>Allan Haldane (2015-2021)</li><li>Nathaniel Smith (2012-2021)</li><li>Julian Taylor (2013-2021)</li><li>Pauli Virtanen (2008-2021)</li><li>Jaime Fernández del Río (2014-2021)</li></ul><h2 id=teams>Teams</h2><p>The NumPy project is growing; we have teams for</p><ul><li>code</li><li>documentation</li><li>website</li><li>triage</li><li>funding and grants</li></ul><p>See the <a href=/gallery/team.html>Team</a> page for individual team members.</p><h2 id=numfocus-subcommittee>NumFOCUS Subcommittee</h2><ul><li>Charles Harris</li><li>Ralf Gommers</li><li>Melissa Weber Mendonça</li><li>Sebastian Berg</li><li>External member: Thomas Caswell</li></ul><h2 id=sponsors>Sponsors</h2><p>NumPy receives direct funding from the following sources:<div class=sponsor-images><a href=https://www.moore.org><img src=/images/logos/moore.svg alt="Logo of the Gordon and Betty Moore Foundation"></a>
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<a href=/contribute id=navbar-item class="navbar-item is-secondary">Contribute</a></div></div></div></nav><section class="content-padding flex-row"><div class=shortcuts-container><div class=shortcuts-title>Shortcuts</div><div id=shortcuts></div><div class=sidebar-links><a href=/gethelp>Get Help</a></div></div><div class=content-container><div class=columns><div class="column is-centered-tablet-portrait"><h1 class="title section-title">About Us</h1><h5 class="subtitle is-5 is-muted"></h5><div class=divider></div></div></div><p><em>Some information about the NumPy project and community</em></p><p>NumPy is an open source project aiming to enable numerical computing with Python. It was created in 2005, building on the early work of the Numeric and Numarray libraries. NumPy will always be 100% open source software, free for all to use and released under the liberal terms of the <a href=https://github.com/numpy/numpy/blob/main/LICENSE.txt>modified BSD license</a>.</p><p>NumPy is developed in the open on GitHub, through the consensus of the NumPy and wider scientific Python community. For more information on our governance approach, please see our <a href=https://www.numpy.org/devdocs/dev/governance/index.html>Governance Document</a>.</p><h2 id=steering-council>Steering Council</h2><p>The role of the NumPy Steering Council is to ensure, through working with and serving the broader NumPy community, the long-term well-being of the project, both technically and as a community. The NumPy Steering Council currently consists of the following members (in alphabetical order):</p><ul><li>Sebastian Berg</li><li>Ralf Gommers</li><li>Charles Harris</li><li>Stephan Hoyer</li><li>Melissa Weber Mendonça</li><li>Inessa Pawson</li><li>Matti Picus</li><li>Stéfan van der Walt</li><li>Eric Wieser</li></ul><p>Emeritus:</p><ul><li>Travis Oliphant (project founder, 2005-2012)</li><li>Alex Griffing (2015-2017)</li><li>Marten van Kerkwijk (2017-2019)</li><li>Allan Haldane (2015-2021)</li><li>Nathaniel Smith (2012-2021)</li><li>Julian Taylor (2013-2021)</li><li>Pauli Virtanen (2008-2021)</li><li>Jaime Fernández del Río (2014-2021)</li></ul><h2 id=teams>Teams</h2><p>The NumPy project is growing; we have teams for</p><ul><li>code</li><li>documentation</li><li>website</li><li>triage</li><li>funding and grants</li></ul><p>See the <a href=/gallery/team.html>Team</a> page for individual team members.</p><h2 id=numfocus-subcommittee>NumFOCUS Subcommittee</h2><ul><li>Charles Harris</li><li>Ralf Gommers</li><li>Melissa Weber Mendonça</li><li>Sebastian Berg</li><li>External member: Thomas Caswell</li></ul><h2 id=sponsors>Sponsors</h2><p>NumPy receives direct funding from the following sources:<div class=sponsor-images><a href=https://www.moore.org><img src=/images/logos/moore.svg alt="Logo of the Gordon and Betty Moore Foundation"></a>
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<a href=https://www.sloan.org><img src=/images/logos/sloan.svg alt="Logo of the Alfred P. Sloan Foundation"></a>
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<a href=https://www.chanzuckerberg.com><img src=/images/logos/CZI.svg alt="Logo of the Chan Zuckerberg Initiative"></a>
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<a href=https://www.tidelift.com><img src=/images/logos/tidelift.png width=200 alt="Logo of Tidelift"></a></div><style>.sponsor-images{display:flex;flex-direction:row;max-width:900px;justify-content:center;margin:30px}.sponsor-images>a{height:75px;width:auto;padding:0 30px;margin:30px 0}@media only screen and (max-width:850px){.sponsor-images{flex-direction:column}.sponsor-images>img{height:auto;margin:30px 0;padding:0}}</style></p><h2 id=institutional-partners>Institutional Partners</h2><p>Institutional Partners are organizations that support the project by employing people that contribute to NumPy as part of their job. Current Institutional Partners include:</p><ul><li>UC Berkeley (Stéfan van der Walt, Sebastian Berg, Ross Barnowski)</li><li>Quansight (Ralf Gommers, Melissa Weber Mendonça, Mars Lee, Matti Picus, Pearu Peterson)</li></ul><div class=partner-images><a href=https://www.berkeley.edu><img src=/images/logos/berkeley-color.svg width=200 alt="Logo of UC Berkeley"></a>

‎config.yaml‎

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- title: Easy to use
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text: NumPy's high level syntax makes it accessible and productive for programmers from any background or experience level.
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- title: Open source
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text: Distributed under a liberal [BSD license](https://github.com/numpy/numpy/blob/master/LICENSE.txt), NumPy is developed and maintained [publicly on GitHub](https://github.com/numpy/numpy) by a vibrant, responsive, and diverse [community](/community).
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text: Distributed under a liberal [BSD license](https://github.com/numpy/numpy/blob/main/LICENSE.txt), NumPy is developed and maintained [publicly on GitHub](https://github.com/numpy/numpy) by a vibrant, responsive, and diverse [community](/community).
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‎index.html‎

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<a href=/community id=navbar-item class="navbar-item is-secondary">Community</a>
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<a href=/about id=navbar-item class="navbar-item is-secondary">About Us</a>
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<a href=/contribute id=navbar-item class="navbar-item is-secondary">Contribute</a></div></div></div></nav><div class=hero-container><div class=hero-content><div class=hero-title-content><div class=hero-title>NumPy
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<img class=hero-logo src=/images/logos/numpy.svg alt="Numpy logo. A three-dimensional blue cube with the letter 'N' highlighted in yellow."></div><div class=flex-column><div class=hero-subtitle>The fundamental package for scientific computing with Python</div><div class=hero-cta><a href=/install><button class=cta-button>Get started</button></a></div></div></div></div></div></section><div class=news-container><div class=news-title><a href=/news>D&I Grant from CZI</a></div><div class=news-content><a href=/news>Including NumPy, SciPy, Matplotlib and Pandas</a></div></div><section class=keyfeatures><div class=container><div class=keyfeatures-box-container><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Powerful N-dimensional arrays</div><div class=keyfeatures-box-text>Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Numerical computing tools</div><div class=keyfeatures-box-text>NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Interoperable</div><div class=keyfeatures-box-text>NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Performant</div><div class=keyfeatures-box-text>The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Easy to use</div><div class=keyfeatures-box-text>NumPy&rsquo;s high level syntax makes it accessible and productive for programmers from any background or experience level.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Open source</div><div class=keyfeatures-box-text>Distributed under a liberal <a href=https://github.com/numpy/numpy/blob/master/LICENSE.txt>BSD license</a>, NumPy is developed and maintained <a href=https://github.com/numpy/numpy>publicly on GitHub</a> by a vibrant, responsive, and diverse <a href=/community>community</a>.</div></p></div></div></div></section><div class=hero-right><div class=numpy-shell-canvas><div class=numpy-shell-container><div class="flex-column shell-title-container"><div class="shell-intro shell-content"><div class=shell-title>Try NumPy</div><div class=shell-content-message>Enable the interactive shell</div></div><div class="shell-wait shell-content" style=display:none><div class=shell-title>While we wait...</div><div class=shell-content-message><p>Launching container on mybinder.org...</p><p>Don&rsquo;t forget to check out the <a href=https://numpy.org/doc/stable target=_blank>docs</a>.</p></div></div><div class="shell-lesson shell-content" style=display:none><div class=highlight><pre style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-python data-lang=python><span style=color:#f92672>&gt;&gt;&gt;</span> <span style=color:#75715e># The standard way to import NumPy:</span>
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<img class=hero-logo src=/images/logos/numpy.svg alt="Numpy logo. A three-dimensional blue cube with the letter 'N' highlighted in yellow."></div><div class=flex-column><div class=hero-subtitle>The fundamental package for scientific computing with Python</div><div class=hero-cta><a href=/install><button class=cta-button>Get started</button></a></div></div></div></div></div></section><div class=news-container><div class=news-title><a href=/news>D&I Grant from CZI</a></div><div class=news-content><a href=/news>Including NumPy, SciPy, Matplotlib and Pandas</a></div></div><section class=keyfeatures><div class=container><div class=keyfeatures-box-container><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Powerful N-dimensional arrays</div><div class=keyfeatures-box-text>Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Numerical computing tools</div><div class=keyfeatures-box-text>NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Interoperable</div><div class=keyfeatures-box-text>NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Performant</div><div class=keyfeatures-box-text>The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Easy to use</div><div class=keyfeatures-box-text>NumPy&rsquo;s high level syntax makes it accessible and productive for programmers from any background or experience level.</div></p></div><div class="keyfeatures-box-content keyfeatures-underline"><p><div class=keyfeatures-box-title>Open source</div><div class=keyfeatures-box-text>Distributed under a liberal <a href=https://github.com/numpy/numpy/blob/main/LICENSE.txt>BSD license</a>, NumPy is developed and maintained <a href=https://github.com/numpy/numpy>publicly on GitHub</a> by a vibrant, responsive, and diverse <a href=/community>community</a>.</div></p></div></div></div></section><div class=hero-right><div class=numpy-shell-canvas><div class=numpy-shell-container><div class="flex-column shell-title-container"><div class="shell-intro shell-content"><div class=shell-title>Try NumPy</div><div class=shell-content-message>Enable the interactive shell</div></div><div class="shell-wait shell-content" style=display:none><div class=shell-title>While we wait...</div><div class=shell-content-message><p>Launching container on mybinder.org...</p><p>Don&rsquo;t forget to check out the <a href=https://numpy.org/doc/stable target=_blank>docs</a>.</p></div></div><div class="shell-lesson shell-content" style=display:none><div class=highlight><pre style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-python data-lang=python><span style=color:#f92672>&gt;&gt;&gt;</span> <span style=color:#75715e># The standard way to import NumPy:</span>
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<span style=color:#f92672>&gt;&gt;&gt;</span> <span style=color:#f92672>import</span> numpy <span style=color:#f92672>as</span> np
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<span style=color:#f92672>&gt;&gt;&gt;</span> <span style=color:#75715e># Create a 2-D array, set every second element in</span>

‎press-kit/index.html‎

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<a href=/learn id=navbar-item class="navbar-item is-secondary">Learn</a>
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<a href=/community id=navbar-item class="navbar-item is-secondary">Community</a>
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<a href=/about id=navbar-item class="navbar-item is-secondary">About Us</a>
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<a href=/contribute id=navbar-item class="navbar-item is-secondary">Contribute</a></div></div></div></nav><section class="content-padding flex-row"><div class=shortcuts-container><div class=shortcuts-title>Shortcuts</div><div id=shortcuts></div><div class=sidebar-links><a href=/gethelp>Get Help</a></div></div><div class=content-container><div class=columns><div class="column is-centered-tablet-portrait"><h1 class="title section-title">Press kit</h1><h5 class="subtitle is-5 is-muted"></h5><div class=divider></div></div></div><p>We would like to make it easy for you to include the NumPy project identity in your next academic paper, course materials, or presentation.</p><p>You will find several high-resolution versions of the NumPy logo <a href=https://github.com/numpy/numpy/tree/master/branding/logo>here</a>. Note that by using the numpy.org resources, you accept the <a href=/code-of-conduct>NumPy Code of Conduct</a>.</p></div></div></section><div id=backtotop><a href=#></a></div><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery/2.2.4/jquery.min.js></script><script src=https://unpkg.com/feather-icons></script><script src=/js/fresh.js></script><script src=/js/jquery.panelslider.min.js></script><script src=https://cdnjs.cloudflare.com/ajax/libs/modernizr/2.8.3/modernizr.min.js></script><script src=https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/js/all.min.js></script><script src=https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css></script><script src=https://cdn.jsdelivr.net/npm/uikit@3.2.7/dist/js/uikit.min.js></script><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/uikit@3.2.7/dist/css/uikit.min.css><script type=text/x-thebe-config>
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<a href=/contribute id=navbar-item class="navbar-item is-secondary">Contribute</a></div></div></div></nav><section class="content-padding flex-row"><div class=shortcuts-container><div class=shortcuts-title>Shortcuts</div><div id=shortcuts></div><div class=sidebar-links><a href=/gethelp>Get Help</a></div></div><div class=content-container><div class=columns><div class="column is-centered-tablet-portrait"><h1 class="title section-title">Press kit</h1><h5 class="subtitle is-5 is-muted"></h5><div class=divider></div></div></div><p>We would like to make it easy for you to include the NumPy project identity in your next academic paper, course materials, or presentation.</p><p>You will find several high-resolution versions of the NumPy logo <a href=https://github.com/numpy/numpy/tree/main/branding/logo>here</a>. Note that by using the numpy.org resources, you accept the <a href=/code-of-conduct>NumPy Code of Conduct</a>.</p></div></div></section><div id=backtotop><a href=#></a></div><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery/2.2.4/jquery.min.js></script><script src=https://unpkg.com/feather-icons></script><script src=/js/fresh.js></script><script src=/js/jquery.panelslider.min.js></script><script src=https://cdnjs.cloudflare.com/ajax/libs/modernizr/2.8.3/modernizr.min.js></script><script src=https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/js/all.min.js></script><script src=https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css></script><script src=https://cdn.jsdelivr.net/npm/uikit@3.2.7/dist/js/uikit.min.js></script><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/uikit@3.2.7/dist/css/uikit.min.css><script type=text/x-thebe-config>
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requestKernel: true,
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