Lee Phillips<p>“Practical Julia” is designed to teach scientists how to use the best language for scientific computing in their work. It has chapters on <br><a href="https://mastodon.social/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physics</span></a>, <a href="https://mastodon.social/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a>, <a href="https://mastodon.social/tags/biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biology</span></a>, <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a>, and more, but begins with a self-contained, complete introduction to the language suitable for <a href="https://mastodon.social/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>programming</span></a> beginners or experienced programmers.</p><p><a href="https://amzn.to/3Jn1QdR" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">amzn.to/3Jn1QdR</span><span class="invisible"></span></a></p><p>A review: <a href="https://lwn.net/Articles/966684/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lwn.net/Articles/966684/</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/julialang" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>julialang</span></a></p>