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#scipy

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Alexandre B A Villares 🐍<p>"A Better Default <a href="https://ciberlandia.pt/tags/Colormap" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Colormap</span></a> for <a href="https://ciberlandia.pt/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Matplotlib</span></a> | <a href="https://ciberlandia.pt/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> 2015 | Nathaniel Smith and Stéfan van der Walt" </p><p><a href="https://www.youtube.com/watch?v=xAoljeRJ3lU" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=xAoljeRJ3lU</span><span class="invisible"></span></a> </p><p><a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://ciberlandia.pt/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> via <span class="h-card" translate="no"><a href="https://ciberlandia.pt/@lr" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>lr</span></a></span></p>
🇺🇦🇪🇺 cweickhmann<p>Did you know the main driver behind NumPy/SciPy didn't get tenure? 🧐<br>I guess that board was wrong about Travis Oliphant.</p><p>Literally everything I did in my scientific work since 2008 heavily depends on work like (and in my case particularly) NumPy/SciPy. <a href="https://qoto.org/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>numpy</span></a> <a href="https://qoto.org/tags/scipy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scipy</span></a> <a href="https://qoto.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://qoto.org/tags/ScientificComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScientificComputing</span></a></p><p><a href="https://youtu.be/-xhai2iu_QY" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/-xhai2iu_QY</span><span class="invisible"></span></a></p>
Dr Sam Morrell<p>My first experience with <a href="https://mastodon.social/tags/chatgpt5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatgpt5</span></a>. </p><p>I queried how to write some <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> code to write out unformatted, binary files so my <a href="https://mastodon.social/tags/fortran" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fortran</span></a> code could read it. </p><p>Proceeds to give me a load of <a href="https://mastodon.social/tags/NumPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NumPy</span></a> code. Completely neglects to mention the <a href="https://mastodon.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> FortranFile class that can trivially read and write, and appears on the first page of a search. </p><p>This is going to be a bumpy ride!</p>
RDN<p>A colleague just notified me that a post in today's daily summary from the ASA describes a simulation that found overestimation of false positive rates by the Brown-Forsythe test applied to trimmed means in the scipy.stats.levene function. The R car:leveneTest function provides more accurate estimates.</p><p><a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://floss.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statistics</span></a> <a href="https://floss.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rstats</span></a></p>
jonny (good kind)<p>RIP <code>gpu-free-ai</code> , which was taken down from PyPI: <a href="https://pypi.org/project/gpu-free-ai/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">pypi.org/project/gpu-free-ai/</span><span class="invisible"></span></a></p><p>In its short life, we explored the possibilities of an all-garbage future, but the present was not ready for a package that explicitly implements the Features that "AI" implements implicitly, such as directly posting any keys in your environment directly to pastebin. Even though these Important Features were opt-in gated behind an environment variable, I suppose it is against the rules to upload Literal Malware to PyPI even if it is performance art.</p><p>The project remains at <a href="https://github.com/sneakers-the-rat/gpu-free-ai/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/sneakers-the-rat/gp</span><span class="invisible">u-free-ai/</span></a></p><p><a href="https://neuromatch.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> <a href="https://neuromatch.social/tags/SciPy2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy2025</span></a></p>
jonny (good kind)<p>Here is my flash talk from <a href="https://neuromatch.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> <a href="https://neuromatch.social/tags/SciPy2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy2025</span></a> - model free AI, just output random garbage directly</p><p><a href="https://docs.google.com/presentation/d/1qzTAz5Y5QiGw6CMkefZBxi-E7FJ7TqSpP-UU1ip4YUE/edit?usp=sharing" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">docs.google.com/presentation/d</span><span class="invisible">/1qzTAz5Y5QiGw6CMkefZBxi-E7FJ7TqSpP-UU1ip4YUE/edit?usp=sharing</span></a></p><p><a href="https://github.com/sneakers-the-rat/gpu-free-ai" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/sneakers-the-rat/gp</span><span class="invisible">u-free-ai</span></a></p>
EuroSciPy<p>To all the procrastinators and those with busy schedules… we see you! 😉</p><p>You've been granted a second chance! The <a href="https://fosstodon.org/tags/EuroSciPy2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroSciPy2025</span></a> Early-Bird deadline has officially been extended to Friday, July 11th.</p><p>This is your final-final call to save on tickets. Don't let this opportunity slip away! <br><a href="https://euroscipy.org/tickets/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">euroscipy.org/tickets/</span><span class="invisible"></span></a> </p><p><a href="https://fosstodon.org/tags/EuroSciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroSciPy</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/EarlyBird" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EarlyBird</span></a> <a href="https://fosstodon.org/tags/Conference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Conference</span></a> <a href="https://fosstodon.org/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> <a href="https://fosstodon.org/tags/Community" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Community</span></a></p>
PyCon AU<p>🟢 PyCon AU is now accepting proposals for specialist tracks!<br>This is your chance to present, inspire, and connect with the Python community. 🎤🐍</p><p>📅 Submit your proposal before June 15th (AoE)<br>🔗 <a href="https://pycon.org.au/program" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">pycon.org.au/program</span><span class="invisible"></span></a></p><p>Let’s make this year’s PyCon unforgettable! ✨</p><p><a href="https://mastodon.pycon.org.au/tags/PyConAU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyConAU</span></a> <a href="https://mastodon.pycon.org.au/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.pycon.org.au/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Data</span></a> <a href="https://mastodon.pycon.org.au/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.pycon.org.au/tags/EdTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EdTech</span></a> <a href="https://mastodon.pycon.org.au/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a></p>
Digital Research Academy<p>🐍 Python on HPC Clusters (May 26–27)</p><p>Using Python for research on HPC clusters? 🧠<br>This free training dives into intermediate Python topics you’ll actually use as a scientist.</p><p>📅 May 26–27 | 15:00–18:30 CEST<br>🔗 <a href="https://buff.ly/1OX9Df9" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">buff.ly/1OX9Df9</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/HPC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HPC</span></a> <a href="https://mastodon.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> <a href="https://mastodon.social/tags/ResearchSoftware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ResearchSoftware</span></a></p>
kazé<p>Dear LazyWeb: is there a C/C++, <a href="https://mastodon.social/tags/Rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rust</span></a> or <a href="https://mastodon.social/tags/Zig" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zig</span></a> equivalent of <a href="https://mastodon.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a>’s `stats` module for statistical analysis? Namely:<br> • a collection of common PDFs (probability density functions);<br> • MLE (maximum likelihood estimation) for these common distributions;<br> • KDE (kernel density estimation).</p><p>SciPy’s API is a pleasure to work with. Anything that comes close but usable from C/C++/Rust/Zig would make my life so much easier. Boosts appreciated for visibility.</p><p><a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a></p>
Alexandre B A Villares<p>Naive "nearest neighbor" <a href="https://pynews.com.br/tags/TravellingSalesmanProblem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TravellingSalesmanProblem</span></a> approximation with just <a href="https://pynews.com.br/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a>, fast but crude. Maybe tomorrow I'll try to implement something from a scientific paper on the problem, or maybe a naive genetic algorithm just for fun. Code at: <a href="https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_10" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/villares/sketch-a-d</span><span class="invisible">ay/tree/main/2025/sketch_2025_02_10</span></a><br>More sketch-a-day: <a href="https://abav.lugaralgum.com/sketch-a-day" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">abav.lugaralgum.com/sketch-a-d</span><span class="invisible">ay</span></a><br>If you like this, support my work: <a href="https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">paypal.com/donate/?hosted_butt</span><span class="invisible">on_id=5B4MZ78C9J724</span></a> <a href="https://pynews.com.br/tags/Processing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Processing</span></a> <a href="https://pynews.com.br/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://pynews.com.br/tags/py5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>py5</span></a> <a href="https://pynews.com.br/tags/CreativeCoding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CreativeCoding</span></a></p>
nen<p>I like to do math, small prototypes and other experimenting with Python in Jupyter notebooks. NumPy, SciPy, SymPy and Matplotlib have been very handy.</p><p>But recently Python was too slow for what I was doing and I had trouble juggling Numpy arrays like I often have (it is required for speed). I know some <a href="https://mementomori.social/tags/Rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rust</span></a> so I decided to give <a href="https://mementomori.social/tags/evcxr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>evcxr</span></a> a go because it has a Jupyter kernel. And omg, I wasn't disappointed! It was mindbogglingly fast compared to what I'm used to and it also made the hard part of my code way easier to get right.</p><p>However, I only needed math functions provided by std this time. Now I'm trying to figure out if there are science Rust libs that are convenient enough to replace most Python in my notebooks. I know it's a fragmented space, but maybe one could already gather a comprehensive collection of crates manually.</p><p>Any recommendations?</p><p><a href="https://mementomori.social/tags/RustLang" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RustLang</span></a> <a href="https://mementomori.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> <a href="https://mementomori.social/tags/NumPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NumPy</span></a> <a href="https://mementomori.social/tags/SymPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SymPy</span></a> <a href="https://mementomori.social/tags/SciComp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciComp</span></a> <a href="https://mementomori.social/tags/Math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Math</span></a></p>
Lukas Brausch<p><span class="h-card" translate="no"><a href="https://mastodon.social/@shauvikkumar" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>shauvikkumar</span></a></span> I find this poll a bit difficult to answer, as the mentioned libraries can all be important parts of data science pipelines at the same time. What if I want to perform algorithmic computations with <a href="https://mastodontech.de/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a> by using <a href="https://mastodontech.de/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> via <a href="https://mastodontech.de/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>numpy</span></a> arrays and visualize the results afterward with <a href="https://mastodontech.de/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> for example? 😉</p>
CarK :python:<p>Recently, I needed an algorithm to decompose an arbitrary <a href="https://social.tchncs.de/tags/polygon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>polygon</span></a> into N segments of roughly the same size (and some shape constraints.</p><p>I really appreciate the <a href="https://social.tchncs.de/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> package <a href="https://social.tchncs.de/tags/Shapely" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Shapely</span></a> and the Voronoi function of <a href="https://social.tchncs.de/tags/scipy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scipy</span></a>. :python: 👍 </p><p>I also find it kind of pleasing to just observe the algorithm sedulously doing its job.</p><p><a href="https://social.tchncs.de/tags/FediScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FediScience</span></a></p>
Olivier Grisel<p>CPython 3.13 will come with a free-threading variant that does not use a Global Interpreter Lock (GIL) anymore. In the long term, this should help <a href="https://sigmoid.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> programs work more efficiently on many CPU core machines.</p><p>Several people are working to make sure that the scientific / data science Python ecosystem is upgraded to be compatible and properly tested.</p><p>You can monitor progress on this compatibility table:</p><p><a href="https://py-free-threading.github.io/tracking/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">py-free-threading.github.io/tr</span><span class="invisible">acking/</span></a></p><p><a href="https://sigmoid.social/tags/PyData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyData</span></a> <a href="https://sigmoid.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a></p>
Olivier Grisel<p>Scikit-learn 1.5 release highlights in video:</p><p><a href="https://youtu.be/mOpU-zremz4" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/mOpU-zremz4</span><span class="invisible"></span></a></p><p>Or as a webpage: <a href="https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">scikit-learn.org/stable/auto_e</span><span class="invisible">xamples/release_highlights/plot_release_highlights_1_5_0.html</span></a></p><p><a href="https://sigmoid.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://sigmoid.social/tags/PyData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyData</span></a> <a href="https://sigmoid.social/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a></p>
Jef Allbright<p>Some <a href="https://mathstodon.xyz/tags/FavoriteTools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FavoriteTools</span></a></p><p><a href="https://mathstodon.xyz/tags/perplexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>perplexity</span></a>.ai for thoughtful web queries. (Shows reasoning and references.)</p><p><a href="https://mathstodon.xyz/tags/Vim" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Vim</span></a> for <a href="https://mathstodon.xyz/tags/TextEditing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TextEditing</span></a> </p><p><a href="https://mathstodon.xyz/tags/Firefox" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Firefox</span></a> w/ <a href="https://mathstodon.xyz/tags/Tridactyl" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tridactyl</span></a> <a href="https://mathstodon.xyz/tags/uBlockOrigin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>uBlockOrigin</span></a> </p><p><a href="https://mathstodon.xyz/tags/Raindrop" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Raindrop</span></a> for <a href="https://mathstodon.xyz/tags/Tagging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tagging</span></a> and <a href="https://mathstodon.xyz/tags/Bookmarking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bookmarking</span></a> web pages</p><p><a href="https://mathstodon.xyz/tags/Inoreader" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Inoreader</span></a> <a href="https://mathstodon.xyz/tags/RSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RSS</span></a> reader</p><p><a href="https://mathstodon.xyz/tags/Pandoc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandoc</span></a> for document creation/conversion</p><p><a href="https://mathstodon.xyz/tags/Ubuntu" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ubuntu</span></a> <a href="https://mathstodon.xyz/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Linux</span></a> (even if it's running under Windows <a href="https://mathstodon.xyz/tags/wsl" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wsl</span></a> </p><p><a href="https://mathstodon.xyz/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> w/ <a href="https://mathstodon.xyz/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Jupyter</span></a> <a href="https://mathstodon.xyz/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a> <a href="https://mathstodon.xyz/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Matplotlib</span></a> <a href="https://mathstodon.xyz/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>numpy</span></a> <a href="https://mathstodon.xyz/tags/scipy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scipy</span></a> <a href="https://mathstodon.xyz/tags/plac" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plac</span></a> </p><p><a href="https://mathstodon.xyz/tags/TheBrain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TheBrain</span></a> for <a href="https://mathstodon.xyz/tags/KnowledgeManagement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KnowledgeManagement</span></a> (but considering moving to <a href="https://mathstodon.xyz/tags/Obsidian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Obsidian</span></a>)</p><p><a href="https://mathstodon.xyz/tags/MoonReader" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MoonReader</span></a> for ebooks and PDFs</p><p><a href="https://mathstodon.xyz/tags/RolandFP90" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RolandFP90</span></a> and A-88 for <a href="https://mathstodon.xyz/tags/piano" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>piano</span></a> </p><p><a href="https://mathstodon.xyz/tags/transcribe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>transcribe</span></a> for working through <a href="https://mathstodon.xyz/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>music</span></a> <a href="https://mathstodon.xyz/tags/video" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>video</span></a> </p><p><a href="https://mathstodon.xyz/tags/Leatherman" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Leatherman</span></a> <a href="https://mathstodon.xyz/tags/SkeletoolCX" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SkeletoolCX</span></a> for EDC multitool</p><p><a href="https://mathstodon.xyz/tags/Benchmade" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Benchmade</span></a> <a href="https://mathstodon.xyz/tags/Griptilian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Griptilian</span></a> when I need more of an actual knife</p><p><a href="https://mathstodon.xyz/tags/Signal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Signal</span></a> for <a href="https://mathstodon.xyz/tags/messaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>messaging</span></a> </p><p><a href="https://mathstodon.xyz/tags/mastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mastodon</span></a> for social media</p><p><a href="https://mathstodon.xyz/tags/antennapod" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>antennapod</span></a> for podcasts</p><p><a href="https://mathstodon.xyz/tags/streamlightwedgext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>streamlightwedgext</span></a> for <a href="https://mathstodon.xyz/tags/EDC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EDC</span></a> flashlight</p>
Juan Luis<p>Hello <a href="https://fosstodon.org/tags/twittermigration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>twittermigration</span></a> folks! 👋🏼 If you want to know more about</p><p>🐍 All things <a href="https://fosstodon.org/tags/PyData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyData</span></a> &amp; <a href="https://fosstodon.org/tags/SciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy</span></a><br>🧑‍🤝‍🧑 <a href="https://fosstodon.org/tags/PyDataMadrid" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyDataMadrid</span></a> and <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a><br>🤝 A bit of <a href="https://fosstodon.org/tags/futureofwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>futureofwork</span></a>, <a href="https://fosstodon.org/tags/sustainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sustainability</span></a>, <a href="https://fosstodon.org/tags/cooperatives" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cooperatives</span></a><br>🎶 A bit of algorithmic music with <a href="https://fosstodon.org/tags/foxdot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>foxdot</span></a><br>🔥 Rants about bad <a href="https://fosstodon.org/tags/UX" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UX</span></a> in free software</p><p>You're at the right place! Please say hi 😊</p>
Geoff Cureton<p><a href="https://mstdn.social/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> Hi, I'm Geoff and I'm a <a href="https://mstdn.social/tags/physicist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physicist</span></a> working as a <a href="https://mstdn.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> application developer and data engineer in a <a href="https://mstdn.social/tags/satellite" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>satellite</span></a> <a href="https://mstdn.social/tags/meteorology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>meteorology</span></a> institute at a large public university in the midwest US. Longtime <a href="https://mstdn.social/tags/linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linux</span></a> user, <a href="https://mstdn.social/tags/vim" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vim</span></a> maniac, mech. <a href="https://mstdn.social/tags/keyboard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>keyboard</span></a> enthusiast and mouse hater. I'm not a hero, but I am a <a href="https://mstdn.social/tags/union" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>union</span></a> man!</p><p><a href="https://mstdn.social/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physics</span></a> <a href="https://mstdn.social/tags/space" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>space</span></a> <a href="https://mstdn.social/tags/arch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arch</span></a> <a href="https://mstdn.social/tags/scipy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scipy</span></a> <a href="https://mstdn.social/tags/neovim" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neovim</span></a> <a href="https://mstdn.social/tags/terminal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>terminal</span></a> <a href="https://mstdn.social/tags/tui" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tui</span></a> <a href="https://mstdn.social/tags/windowmanager" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>windowmanager</span></a></p>
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