<img class=hero-logo src=/images/logo.svg alt="NumPy logo. "></div><div class=flex-column><div class=hero-subtitle>The fundamental package for scientific computing with Python</div><div class=hero-cta><a href=/news/#releases><button class=cta-button>Latest release: numpy 1.24.2. View all releases.</button></a></div></div></div></div></div></section><div class=news-container><div class=news-title><a href=/news>Meet the new NumPy docs team leads</a></div></div><section class=keyfeatures><div class="container is-max-widescreen"><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>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 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></div></section><div class=hero-right><div class="flex-column shell-title-container"><div class=shell-title>Try NumPy</div><div class=shell-content-message><p>Use the interactive shell to try NumPy in the browser</p></div></div><div class=numpy-shell-canvas><div class=numpy-shell-container><div class="shell-lesson shell-content"><div class=highlight><pre tabindex=0 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=display:flex><span><span style=color:#e6db74>&#34;&#34;&#34;