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‎arraycomputing/index.html

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values in one shot. This vectorized approach provides speed and simplicity by
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best radio observatories. Innovative algorithms and data processing
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techniques, improving upon existing astronomical models, helped unfold a
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mystery of the universe.</p><figure class=align-default id=id005><img src=/images/content_images/cs/numpy_bh_benefits.png alt="numpy benefits" class=align-center><figcaption><strong class=caption-title>Key NumPy Capabilities utilized</strong><a class=headerlink href=#id005 title="Link to this image">#</a><br><p><span class=caption-text></span></figcaption></figure></div></div><div id=shortcuts-container><div id=shortcuts><div id=shortcuts-header><i class="fa-solid fa-list"></i> On this page</div></div></div></section><div id=backtotop><a href=# id=backtotop-color><i class="fa-solid fa-arrow-up"></i></a></div><footer id=footer><div class=container><div id=footer-columns><div id=footer-logo-column><img id=footer-logo src=/images/logo.svg alt="NumPy logo. "></div><div class=footer-column><div class=footer-item><a href=/install>Install</a></div><div class=footer-item><a href=https://numpy.org/doc/stable>Documentation</a></div><div class=footer-item><a href=/learn>Learn</a></div><div class=footer-item><a href=/citing-numpy>Citing Numpy</a></div><div class=footer-item><a href=https://numpy.org/neps/roadmap.html>Roadmap</a></div></div><div class=footer-column><div class=footer-item><a href=/about>About us</a></div><div class=footer-item><a href=/community>Community</a></div><div class=footer-item><a href=/user-surveys>User surveys</a></div><div class=footer-item><a href=/contribute>Contribute</a></div><div class=footer-item><a href=/code-of-conduct>Code of conduct</a></div></div><div class=footer-column><div class=footer-item><a href=/gethelp>Get help</a></div><div class=footer-item><a href=/terms>Terms of use</a></div><div class=footer-item><a href=/privacy>Privacy</a></div><div class=footer-item><a href=/press-kit>Press kit</a></div></div><div class=footer-actions>Sign up for the latest NumPy news, resources, and more<form action="https://numpy.us4.list-manage.com/subscribe/post?u=5ddd0d1d6e807900a8212481a&amp;id=287fa4253c" method=post id=mc-embedded-subscribe-form name=mc-embedded-subscribe-form class="validate sign-up-container" target=_blank novalidate><div class=sign-up-image><svg class="icon mail-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M22 6c0-1.1-.9-2-2-2H4c-1.1.0-2 .9-2 2v12c0 1.1.9 2 2 2h16c1.1.0 2-.9 2-2V6zm-2 0-8 5-8-5h16zm0 12H4V8l8 5 8-5v10z"/></svg></div><input type=email name=EMAIL class="required email sign-up-input" id=mce-EMAIL aria-label="Input for email, press enter to submit" onkeypress='(event.which===13||event.keyCode===13||event.key==="Enter")&&sendThankYou()'><div class=submission-instructions>Press Enter</div><button class=signup-button onclick=sendThankYou() aria-label=Submit><svg class="icon sent-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M2.01 21 23 12 2.01 3 2 10l15 2-15 2z"/></svg></button><div id=mce-responses class=clear><div class=response id=mce-error-response style=display:none></div><div class=response id=mce-success-response style=display:none></div></div><div style=position:absolute;left:-5000px aria-hidden=true><input type=text name=b_5ddd0d1d6e807900a8212481a_287fa4253c tabindex=-1></div><div class=clear><input type=submit value=Subscribe name=subscribe id=mc-embedded-subscribe class=button style=display:none></div></form><div class=thank-you>Thank you! &#127881;</div><div class=community-icons><a href=https://github.com/numpy/numpy aria-label=https://github.com/numpy/numpy><svg class="icon github-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M12 .297c-6.63.0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577.0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93.0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176.0.0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22.0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22.0 1.606-.015 2.896-.015 3.286.0.315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"/></svg>
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hidden parameters, patterns, and attributes that lead to the outcome of a
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otherwise hidden in numbers and statistics.</p><figure class=align-default id=id004><img src=/images/content_images/cs/numpy_ca_benefits.png alt="Diagram showing benefits of using NumPy for cricket analytics" class=align-center><figcaption><strong class=caption-title>Key NumPy Capabilities utilized</strong><a class=headerlink href=#id004 title="Link to this image">#</a><br><p><span class=caption-text></span></figcaption></figure></div></div><div id=shortcuts-container><div id=shortcuts><div id=shortcuts-header><i class="fa-solid fa-list"></i> On this page</div></div></div></section><div id=backtotop><a href=# id=backtotop-color><i class="fa-solid fa-arrow-up"></i></a></div><footer id=footer><div class=container><div id=footer-columns><div id=footer-logo-column><img id=footer-logo src=/images/logo.svg alt="NumPy logo. "></div><div class=footer-column><div class=footer-item><a href=/install>Install</a></div><div class=footer-item><a href=https://numpy.org/doc/stable>Documentation</a></div><div class=footer-item><a href=/learn>Learn</a></div><div class=footer-item><a href=/citing-numpy>Citing Numpy</a></div><div class=footer-item><a href=https://numpy.org/neps/roadmap.html>Roadmap</a></div></div><div class=footer-column><div class=footer-item><a href=/about>About us</a></div><div class=footer-item><a href=/community>Community</a></div><div class=footer-item><a href=/user-surveys>User surveys</a></div><div class=footer-item><a href=/contribute>Contribute</a></div><div class=footer-item><a href=/code-of-conduct>Code of conduct</a></div></div><div class=footer-column><div class=footer-item><a href=/gethelp>Get help</a></div><div class=footer-item><a href=/terms>Terms of use</a></div><div class=footer-item><a href=/privacy>Privacy</a></div><div class=footer-item><a href=/press-kit>Press kit</a></div></div><div class=footer-actions>Sign up for the latest NumPy news, resources, and more<form action="https://numpy.us4.list-manage.com/subscribe/post?u=5ddd0d1d6e807900a8212481a&amp;id=287fa4253c" method=post id=mc-embedded-subscribe-form name=mc-embedded-subscribe-form class="validate sign-up-container" target=_blank novalidate><div class=sign-up-image><svg class="icon mail-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M22 6c0-1.1-.9-2-2-2H4c-1.1.0-2 .9-2 2v12c0 1.1.9 2 2 2h16c1.1.0 2-.9 2-2V6zm-2 0-8 5-8-5h16zm0 12H4V8l8 5 8-5v10z"/></svg></div><input type=email name=EMAIL class="required email sign-up-input" id=mce-EMAIL aria-label="Input for email, press enter to submit" onkeypress='(event.which===13||event.keyCode===13||event.key==="Enter")&&sendThankYou()'><div class=submission-instructions>Press Enter</div><button class=signup-button onclick=sendThankYou() aria-label=Submit><svg class="icon sent-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M2.01 21 23 12 2.01 3 2 10l15 2-15 2z"/></svg></button><div id=mce-responses class=clear><div class=response id=mce-error-response style=display:none></div><div class=response id=mce-success-response style=display:none></div></div><div style=position:absolute;left:-5000px aria-hidden=true><input type=text name=b_5ddd0d1d6e807900a8212481a_287fa4253c tabindex=-1></div><div class=clear><input type=submit value=Subscribe name=subscribe id=mc-embedded-subscribe class=button style=display:none></div></form><div class=thank-you>Thank you! &#127881;</div><div class=community-icons><a href=https://github.com/numpy/numpy aria-label=https://github.com/numpy/numpy><svg class="icon github-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M12 .297c-6.63.0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577.0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93.0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176.0.0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22.0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22.0 1.606-.015 2.896-.015 3.286.0.315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"/></svg>
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‎case-studies/deeplabcut-dnn/index.html

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medicine and rehabilitation studies. Complex combinatorics, data processing
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challenges faced by DeepLabCut algorithms are addressed through the use of
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NumPy&rsquo;s array manipulation capabilities.</p><figure class=align-default id=id006><img src=/images/content_images/cs/numpy_dlc_benefits.png alt="numpy benefits" class=align-center><figcaption><strong class=caption-title>Key NumPy Capabilities utilized</strong><a class=headerlink href=#id006 title="Link to this image">#</a><br><p><span class=caption-text></span></figcaption></figure></div></div><div id=shortcuts-container><div id=shortcuts><div id=shortcuts-header><i class="fa-solid fa-list"></i> On this page</div></div></div></section><div id=backtotop><a href=# id=backtotop-color><i class="fa-solid fa-arrow-up"></i></a></div><footer id=footer><div class=container><div id=footer-columns><div id=footer-logo-column><img id=footer-logo src=/images/logo.svg alt="NumPy logo. "></div><div class=footer-column><div class=footer-item><a href=/install>Install</a></div><div class=footer-item><a href=https://numpy.org/doc/stable>Documentation</a></div><div class=footer-item><a href=/learn>Learn</a></div><div class=footer-item><a href=/citing-numpy>Citing Numpy</a></div><div class=footer-item><a href=https://numpy.org/neps/roadmap.html>Roadmap</a></div></div><div class=footer-column><div class=footer-item><a href=/about>About us</a></div><div class=footer-item><a href=/community>Community</a></div><div class=footer-item><a href=/user-surveys>User surveys</a></div><div class=footer-item><a href=/contribute>Contribute</a></div><div class=footer-item><a href=/code-of-conduct>Code of conduct</a></div></div><div class=footer-column><div class=footer-item><a href=/gethelp>Get help</a></div><div class=footer-item><a href=/terms>Terms of use</a></div><div class=footer-item><a href=/privacy>Privacy</a></div><div class=footer-item><a href=/press-kit>Press kit</a></div></div><div class=footer-actions>Sign up for the latest NumPy news, resources, and more<form action="https://numpy.us4.list-manage.com/subscribe/post?u=5ddd0d1d6e807900a8212481a&amp;id=287fa4253c" method=post id=mc-embedded-subscribe-form name=mc-embedded-subscribe-form class="validate sign-up-container" target=_blank novalidate><div class=sign-up-image><svg class="icon mail-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M22 6c0-1.1-.9-2-2-2H4c-1.1.0-2 .9-2 2v12c0 1.1.9 2 2 2h16c1.1.0 2-.9 2-2V6zm-2 0-8 5-8-5h16zm0 12H4V8l8 5 8-5v10z"/></svg></div><input type=email name=EMAIL class="required email sign-up-input" id=mce-EMAIL aria-label="Input for email, press enter to submit" onkeypress='(event.which===13||event.keyCode===13||event.key==="Enter")&&sendThankYou()'><div class=submission-instructions>Press Enter</div><button class=signup-button onclick=sendThankYou() aria-label=Submit><svg class="icon sent-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M2.01 21 23 12 2.01 3 2 10l15 2-15 2z"/></svg></button><div id=mce-responses class=clear><div class=response id=mce-error-response style=display:none></div><div class=response id=mce-success-response style=display:none></div></div><div style=position:absolute;left:-5000px aria-hidden=true><input type=text name=b_5ddd0d1d6e807900a8212481a_287fa4253c tabindex=-1></div><div class=clear><input type=submit value=Subscribe name=subscribe id=mc-embedded-subscribe class=button style=display:none></div></form><div class=thank-you>Thank you! &#127881;</div><div class=community-icons><a href=https://github.com/numpy/numpy aria-label=https://github.com/numpy/numpy><svg class="icon github-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M12 .297c-6.63.0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577.0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93.0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176.0.0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22.0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22.0 1.606-.015 2.896-.015 3.286.0.315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"/></svg>
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‎case-studies/gw-discov/index.html

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is <a href=https://www.gw-openscience.org/events/GW150914/>enabling researchers</a> to
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answer complex questions and discover new horizons in our understanding of the
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If you would prefer not to do that, please feel free to report to the Code of Conduct Committee directly, or ask the Committee for advice, in confidence.</p><p>You can report issues to the NumPy Code of Conduct Committee at <a href=mailto:numpy-conduct@googlegroups.com>numpy-conduct@googlegroups.com</a>.</p><p>Currently, the Committee consists of:</p><ul><li>Stefan van der Walt</li><li>Melissa Weber Mendonça</li><li>Rohit Goswami</li></ul><p>If your report involves any members of the Committee, or if they feel they have a conflict of interest in handling it, then they will recuse themselves from considering your report. Alternatively, if for any reason you feel uncomfortable making a report to the Committee, then you can also contact senior NumFOCUS staff at <a href=https://numfocus.org/code-of-conduct#persons-responsible>conduct@numfocus.org</a>.</p><h3 id=incident-reporting-resolution--code-of-conduct-enforcement>Incident reporting resolution & Code of Conduct enforcement<a class=headerlink href=#incident-reporting-resolution--code-of-conduct-enforcement title="Link to this heading">#</a></h3><p><em>This section summarizes the most important points, more details can be found in</em> <a href=/report-handling-manual/>NumPy Code of Conduct - How to follow up on a report</a>.</p><p>We will investigate and respond to all complaints. The NumPy Code of Conduct Committee and the NumPy Steering Committee (if involved) will protect the identity of the reporter, and treat the content of complaints as confidential (unless the reporter agrees otherwise).</p><p>In case of severe and obvious breaches, e.g. personal threat or violent, sexist or racist language, we will immediately disconnect the originator from NumPy communication channels; please see the manual for details.</p><p>In cases not involving clear severe and obvious breaches of this Code of Conduct the process for acting on any received Code of Conduct violation report will be:</p><ol><li>acknowledge report is received,</li><li>reasonable discussion/feedback,</li><li>mediation (if feedback didn’t help, and only if both reporter and reportee agree to this),</li><li>enforcement via transparent decision (see <a href=/report-handling-manual/#resolutions>Resolutions</a>) by the Code of Conduct Committee.</li></ol><p>The Committee will respond to any report as soon as possible, and at most within 72 hours.</p><h3 id=endnotes>Endnotes<a class=headerlink href=#endnotes title="Link to this heading">#</a></h3><p>We are thankful to the groups behind the following documents, from which we drew content and inspiration:</p><ul><li><a href=https://docs.scipy.org/doc/scipy/dev/conduct/code_of_conduct.html>The SciPy Code of Conduct</a></li></ul></div></div><div id=shortcuts-container><div id=shortcuts><div id=shortcuts-header><i class="fa-solid fa-list"></i> On this page</div></div></div></section><div id=backtotop><a href=# id=backtotop-color><i class="fa-solid fa-arrow-up"></i></a></div><footer id=footer><div class=container><div id=footer-columns><div id=footer-logo-column><img id=footer-logo src=/images/logo.svg alt="NumPy logo. 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‎community/index.html

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Please see
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details and how to get an invite.</p><h2 id=study-groups-and-meetups>Study Groups and Meetups<a class=headerlink href=#study-groups-and-meetups title="Link to this heading">#</a></h2><p>If you would like to find a local meetup or study group to learn more about NumPy and the wider ecosystem of Python packages for data science and scientific computing, we recommend exploring the <a href=https://www.meetup.com/pro/pydata/>PyData meetups</a> (150+ meetups, 100,000+ members).</p><p>NumPy also organizes in-person sprints for its team and interested contributors occasionally. These are typically planned several months in advance and will be announced on the <a href=https://mail.python.org/mailman/listinfo/numpy-discussion>mailing list</a>.</p><h2 id=conferences>Conferences<a class=headerlink href=#conferences title="Link to this heading">#</a></h2><p>The NumPy project doesn&rsquo;t organize its own conferences. 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‎config.yaml

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‎contribute/index.html

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that support has made. Like most nonprofits, we are constantly seeking grants, sponsorships,
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Allan Haldane, Stephan Hoyer, Mars Lee, Melissa Weber Mendonça, Jarrod Millman,
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