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#quansight

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mgorny-nyan (on) :autism:🙀🚂🐧<p>Czas na ważne ogłoszenie parafialne: dziś zacząłem pracę w <a href="https://pol.social/tags/Quansight" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Quansight</span></a> Labs.</p><p>Chciałbym przy tej okazji podziękować wszystkim osobom, które mnie wspierały w ostatnich latach. Wasza pomoc wiele dla mnie znaczyła!</p><p>Oznacza to również, że nie będę miał już tyle samo czasu dla <a href="https://pol.social/tags/Gentoo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gentoo</span></a>. Myślę jednak, że udało mi się nie zostawić&nbsp;żadnych dużych projektów niedokończonych.</p>
mgorny-nyan (he) :autism:🙀🚂🐧<p>Time for an important announcement: today I've started working for <a href="https://social.treehouse.systems/tags/Quansight" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Quansight</span></a> Labs.</p><p>I would like to take this opportunity to thank all of you who supported me over the past years. Your help was greatly appreciated!</p><p>That said, this also means that I'm going to spend less time on <a href="https://social.treehouse.systems/tags/Gentoo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gentoo</span></a> than I used to. I think I've managed not to leave any loose ends, and finish all the big efforts in time.</p>
Jitse Niesen<p>I am excited to read about numpy_quaddtype, a project to include quad precision in numpy. The standard precision in numpy (and most other places) is double precision: numbers are stored in 64 bits and the precision is about 16 decimal digits. This is usually enough but not always.</p><p>Numpy does have longdouble, which may or may not increase precision, depending on your platform, but even if it does, the increase is very modest. If I need more precision, I typically use FLINT, but that is meant for super high precision and rigorous computations. It will be very good to have another tool.</p><p>More details in this blogpost: <a href="https://labs.quansight.org/blog/numpy-quaddtype-blog" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">labs.quansight.org/blog/numpy-</span><span class="invisible">quaddtype-blog</span></a></p><p><a href="https://mathstodon.xyz/tags/FloatingPoint" class="mention hashtag" rel="tag">#<span>FloatingPoint</span></a> <a href="https://mathstodon.xyz/tags/numpy" class="mention hashtag" rel="tag">#<span>numpy</span></a> <a href="https://mathstodon.xyz/tags/quansight" class="mention hashtag" rel="tag">#<span>quansight</span></a> <a href="https://mathstodon.xyz/tags/NumericalAnalysis" class="mention hashtag" rel="tag">#<span>NumericalAnalysis</span></a></p>
Dhavide Aruliah<p>I'm overdue for an <a href="https://mastodon.social/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>introduction</span></a>. My name is Dhavide; I'm a Canadian mathematician &amp; computer scientist. Once upon a time, I earned my living as a professor. I currently work as the Director of Education &amp; a Principal Solution Architect for <a href="https://mastodon.social/tags/Quansight" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Quansight</span></a> LLC.</p><p>My main social media outlet was Twitter until recently. I'm excited by the opportunity the Fediverse provides to reassess ways for technologies to serve people—and democracy—rather than advertisers.</p><p>(1/4)</p>
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