Veganism Social

TCCI – Learn Coding & IT Skill📦 New to Python? These 3 libraries are your best starting point:1️⃣ NumPy — powerful numerical computing 2️⃣ Pandas — analyze & manipulate data 3️⃣ Matplotlib — visualize data beautifullyThese are essentials for data science & programming beginners!From TCCI – Tririd Computer Coaching Institute, Bopal Ahmedabad<a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://mastodon.social/tags/NumPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#NumPy</a> <a href="https://mastodon.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pandas</a> <a href="https://mastodon.social/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#Matplotlib</a> <a href="https://mastodon.social/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#Programming</a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataScience</a> <a href="https://mastodon.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#FOSS</a> <a href="https://mastodon.social/tags/TCCI" class="mention hashtag" rel="nofollow noopener" target="_blank">#TCCI</a> <a href="https://mastodon.social/tags/EdTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#EdTech</a> <a href="https://mastodon.social/tags/LearnPython" class="mention hashtag" rel="nofollow noopener" target="_blank">#LearnPython</a>

Simone ConradiI move 1 along the x-axis, then rotate by an angle theta, I move 1/phi, rotate by theta, I move 1/phi², rotate by theta etc etc. Made with <a href="https://mathstodon.xyz/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://mathstodon.xyz/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#numpy</a> <a href="https://mathstodon.xyz/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a>

wahlatlas.netMit den <a href="https://norden.social/tags/opendata" class="mention hashtag" rel="nofollow noopener" target="_blank">#opendata</a> Wetterdaten des <a href="https://social.bund.de/@DeutscherWetterdienst" class="u-url mention" rel="nofollow noopener" target="_blank">@DeutscherWetterdienst</a> unter <a href="https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/solar/" rel="nofollow noopener" translate="no" target="_blank">https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/solar/</a> kann man die Sonnenscheindauer gegen die Unfallzahlen plotten. <a href="https://norden.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> <a href="https://norden.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://norden.social/tags/fedibikes" class="mention hashtag" rel="nofollow noopener" target="_blank">#fedibikes</a>

ruthpozueloUpdated the website during lunch break.The GPX poster is live:<a href="https://www.curbal.world/gpx_poster" rel="nofollow noopener" translate="no" target="_blank">https://www.curbal.world/gpx_poster</a>And the compare similar tracks is also live at the end of this page:<a href="https://www.curbal.world/anaerobic_training" rel="nofollow noopener" translate="no" target="_blank">https://www.curbal.world/anaerobic_training</a>Next project: profile a race track to come up with a plan to train and execute it :)The elevation profile comparison tool is one of the pieces to this:<a href="https://www.curbal.world/upload_multiple_gpx" rel="nofollow noopener" translate="no" target="_blank">https://www.curbal.world/upload_multiple_gpx</a><a href="https://mastodon.social/tags/running" class="mention hashtag" rel="nofollow noopener" target="_blank">#running</a> <a href="https://mastodon.social/tags/run" class="mention hashtag" rel="nofollow noopener" target="_blank">#run</a> <a href="https://mastodon.social/tags/runnersofmastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#runnersofmastodon</a> <a href="https://mastodon.social/tags/gpx" class="mention hashtag" rel="nofollow noopener" target="_blank">#gpx</a> <a href="https://mastodon.social/tags/garmin" class="mention hashtag" rel="nofollow noopener" target="_blank">#garmin</a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataviz</a> <a href="https://mastodon.social/tags/sports" class="mention hashtag" rel="nofollow noopener" target="_blank">#sports</a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a>

EuroSciPy📊 Want to level up your Python data visualization skills?Join Stefanie Molin at <a href="https://fosstodon.org/tags/EuroSciPy2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#EuroSciPy2025</a> for a beginner-friendly tutorial: "Beyond the Basics: Data Visualization in Python"✅ Learn Matplotlib ✅ Create beautiful charts ✅ Explore interactivity with HoloViz & BokehPerfect for newcomers—no prior experience required!📅 Aug 18–22 in Kraków 🎟️ <a href="https://euroscipy.org/tickets" rel="nofollow noopener" translate="no" target="_blank">https://euroscipy.org/tickets</a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://fosstodon.org/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataViz</a> <a href="https://fosstodon.org/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#Matplotlib</a> <a href="https://fosstodon.org/tags/ScientificPython" class="mention hashtag" rel="nofollow noopener" target="_blank">#ScientificPython</a> <a href="https://fosstodon.org/tags/EuroSciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#EuroSciPy</a>

bmaxv<a href="https://noc.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> More of a general question about community. I want to draw a pie plot, in a package/rendering engine that is not <a href="https://noc.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> . But I know that matplotlib does do the math I need.Theoretically, the "correct" approach would be to isolate that math, make a new package and hook it in so that both matplotlib and my new package can now use the same math, same package. I can reuse the math I need without their rendering assumptions.But I don't think they would do this. (1/2) ...

Mark T. TomczakDebugging a complex Python library via a Jupyter notebook is unfairly good tech, yinz.Now that I've tried it, I can't go back.My favorite part of this exercise?Testing the fix in-place by copying the broken method out of the class, editing it, monkey-patching it back into the class definition, and then re-running the small verification setup I threw together in Jupyter. Newly-created class instances are using the new method and the flow goes from "Busted" to "Working."(Plus, Jupyter supports matplotlib output, which is huge when what I'm debugging is fundamentally geometric in nature).<a href="https://mastodon.fixermark.com/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://mastodon.fixermark.com/tags/jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#jupyter</a> <a href="https://mastodon.fixermark.com/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> <a href="https://mastodon.fixermark.com/tags/shapely" class="mention hashtag" rel="nofollow noopener" target="_blank">#shapely</a>

Steve Leach<a href="https://sauropods.win/@futurebird" class="u-url mention" rel="nofollow noopener" target="_blank">@futurebird</a> I've found that in my own basic computing I do everything in <a href="https://sigmoid.social/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#Jupyter</a> notebooks these days - working out and documenting whatever I'm doing cell by cell, examining and displaying data, plotting stuff, etc.I suspect that this might be a fantastic way to teach CS - teaching just enough <a href="https://sigmoid.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a>, <a href="https://sigmoid.social/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#Matplotlib</a>, <a href="https://sigmoid.social/tags/Markdown" class="mention hashtag" rel="nofollow noopener" target="_blank">#Markdown</a>, etc. to use notebooks as a go-to tool for just *doing* stuff (especially exploring data).Whether iteratively developing a tool, exploring data, physics, math, etc.

Lisa HornungOn a mapping run - Bauhaus inspired grid map of europe. Each country is coloured by the first letter of their ISO name. 🟠 🔵 🟡 Maybe a little puzzle to figure out the grid I used 😅 Initial map made in <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> using <a href="https://fosstodon.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> then refined in Figma. Code: <a href="https://github.com/Lisa-Ho/small-data-projects/tree/main?tab=readme-ov-file#012025-grid-map-of-europe" rel="nofollow noopener" translate="no" target="_blank">https://github.com/Lisa-Ho/small-data-projects/tree/main?tab=readme-ov-file#012025-grid-map-of-europe</a> <a href="https://fosstodon.org/tags/Maps" class="mention hashtag" rel="nofollow noopener" target="_blank">#Maps</a> <a href="https://fosstodon.org/tags/Dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#Dataviz</a> <a href="https://fosstodon.org/tags/CreativeCoding" class="mention hashtag" rel="nofollow noopener" target="_blank">#CreativeCoding</a>

Simone ConradiRoots of parametric polynomials. Made with <a href="https://mathstodon.xyz/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>, <a href="https://mathstodon.xyz/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a>, <a href="https://mathstodon.xyz/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#numpy</a> and <a href="https://mathstodon.xyz/tags/sympy" class="mention hashtag" rel="nofollow noopener" target="_blank">#sympy</a> The first or the second?

Simone ConradiRoots of parametric polynomials.

ruthpozueloI finally created the last visualization, so I have all 100 done! 🥳🥳🥳Not all of them are exactly the same, I will work on that as I create the video tutorials.Hope it will be as useful to someone as it was to me :)<a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataviz</a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#datascience</a><a href="https://curbal.com/1-dataset-100-matplotlib-visualizations" rel="nofollow noopener" translate="no" target="_blank">https://curbal.com/1-dataset-100-matplotlib-visualizations</a>

Les capsules du prof LutzOne of my most proud of plot. Geeky, chuck-full of data, and _nice_ .<a href="https://forums.adafruit.com/viewtopic.php?p=903215#p903215" rel="nofollow noopener" translate="no" target="_blank">https://forums.adafruit.com/viewtopic.php?p=903215#p903215</a>The two small vertical lines at the base correspond to the clock jitter width I measured with a Feather M0 which uses XOSC32K since there's a crystal on the board (the jitter is then as small as ± 0.02 ms). <a href="https://mamot.fr/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> <a href="https://mamot.fr/tags/SAMD21" class="mention hashtag" rel="nofollow noopener" target="_blank">#SAMD21</a> <a href="https://mamot.fr/tags/microcontrollers" class="mention hashtag" rel="nofollow noopener" target="_blank">#microcontrollers</a> <a href="https://mamot.fr/tags/electronic" class="mention hashtag" rel="nofollow noopener" target="_blank">#electronic</a> <a href="https://mamot.fr/tags/atomicsynchronator" class="mention hashtag" rel="nofollow noopener" target="_blank">#atomicsynchronator</a>

Pranay S. YadavI am presenting this poster next week at MEG-UKI23, Dublin. It highlights findings from scientific work on how sensory processing in the brain slows down with age & builds on my previous poster from April: <a href="https://fosstodon.org/@pranay/110231866336906978" rel="nofollow noopener" translate="no" target="_blank">https://fosstodon.org/@pranay/110231866336906978</a> Using biologically-plausible models of the cortex on a large (N=632) MEG dataset, this work dissects mechanisms of age-related slowing in the processing of sensory information.Grab pdf here: <a href="https://cloud.pranaysy.com/s/QXkEED7aCG4Gfpp" rel="nofollow noopener" translate="no" target="_blank">https://cloud.pranaysy.com/s/QXkEED7aCG4Gfpp</a><a href="https://fosstodon.org/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuroscience</a> <a href="https://fosstodon.org/tags/brain" class="mention hashtag" rel="nofollow noopener" target="_blank">#brain</a> <a href="https://fosstodon.org/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#science</a> <a href="https://fosstodon.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>

NihilistDrawing spirals, I think my favorite is when the spirals meet and the Moire patterns when they overlap <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> <a href="https://mastodon.social/tags/generativeart" class="mention hashtag" rel="nofollow noopener" target="_blank">#generativeart</a> with special thanks to the Nord color theme which I'm using <a href="https://www.nordtheme.com/" rel="nofollow noopener" translate="no" target="_blank">https://www.nordtheme.com/</a>

Jef AllbrightSome <a href="https://mathstodon.xyz/tags/FavoriteTools" class="mention hashtag" rel="nofollow noopener" target="_blank">#FavoriteTools</a><a href="https://mathstodon.xyz/tags/perplexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#perplexity</a>.ai for thoughtful web queries. (Shows reasoning and references.)<a href="https://mathstodon.xyz/tags/Vim" class="mention hashtag" rel="nofollow noopener" target="_blank">#Vim</a> for <a href="https://mathstodon.xyz/tags/TextEditing" class="mention hashtag" rel="nofollow noopener" target="_blank">#TextEditing</a> <a href="https://mathstodon.xyz/tags/Firefox" class="mention hashtag" rel="nofollow noopener" target="_blank">#Firefox</a> w/ <a href="https://mathstodon.xyz/tags/Tridactyl" class="mention hashtag" rel="nofollow noopener" target="_blank">#Tridactyl</a> <a href="https://mathstodon.xyz/tags/uBlockOrigin" class="mention hashtag" rel="nofollow noopener" target="_blank">#uBlockOrigin</a> <a href="https://mathstodon.xyz/tags/Raindrop" class="mention hashtag" rel="nofollow noopener" target="_blank">#Raindrop</a> for <a href="https://mathstodon.xyz/tags/Tagging" class="mention hashtag" rel="nofollow noopener" target="_blank">#Tagging</a> and <a href="https://mathstodon.xyz/tags/Bookmarking" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bookmarking</a> web pages<a href="https://mathstodon.xyz/tags/Inoreader" class="mention hashtag" rel="nofollow noopener" target="_blank">#Inoreader</a> <a href="https://mathstodon.xyz/tags/RSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#RSS</a> reader<a href="https://mathstodon.xyz/tags/Pandoc" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pandoc</a> for document creation/conversion<a href="https://mathstodon.xyz/tags/Ubuntu" class="mention hashtag" rel="nofollow noopener" target="_blank">#Ubuntu</a> <a href="https://mathstodon.xyz/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a> (even if it's running under Windows <a href="https://mathstodon.xyz/tags/wsl" class="mention hashtag" rel="nofollow noopener" target="_blank">#wsl</a> <a href="https://mathstodon.xyz/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> w/ <a href="https://mathstodon.xyz/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#Jupyter</a> <a href="https://mathstodon.xyz/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pandas</a> <a href="https://mathstodon.xyz/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#Matplotlib</a> <a href="https://mathstodon.xyz/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#numpy</a> <a href="https://mathstodon.xyz/tags/scipy" class="mention hashtag" rel="nofollow noopener" target="_blank">#scipy</a> <a href="https://mathstodon.xyz/tags/plac" class="mention hashtag" rel="nofollow noopener" target="_blank">#plac</a> <a href="https://mathstodon.xyz/tags/TheBrain" class="mention hashtag" rel="nofollow noopener" target="_blank">#TheBrain</a> for <a href="https://mathstodon.xyz/tags/KnowledgeManagement" class="mention hashtag" rel="nofollow noopener" target="_blank">#KnowledgeManagement</a> (but considering moving to <a href="https://mathstodon.xyz/tags/Obsidian" class="mention hashtag" rel="nofollow noopener" target="_blank">#Obsidian</a>)<a href="https://mathstodon.xyz/tags/MoonReader" class="mention hashtag" rel="nofollow noopener" target="_blank">#MoonReader</a> for ebooks and PDFs<a href="https://mathstodon.xyz/tags/RolandFP90" class="mention hashtag" rel="nofollow noopener" target="_blank">#RolandFP90</a> and A-88 for <a href="https://mathstodon.xyz/tags/piano" class="mention hashtag" rel="nofollow noopener" target="_blank">#piano</a> <a href="https://mathstodon.xyz/tags/transcribe" class="mention hashtag" rel="nofollow noopener" target="_blank">#transcribe</a> for working through <a href="https://mathstodon.xyz/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#music</a> <a href="https://mathstodon.xyz/tags/video" class="mention hashtag" rel="nofollow noopener" target="_blank">#video</a> <a href="https://mathstodon.xyz/tags/Leatherman" class="mention hashtag" rel="nofollow noopener" target="_blank">#Leatherman</a> <a href="https://mathstodon.xyz/tags/SkeletoolCX" class="mention hashtag" rel="nofollow noopener" target="_blank">#SkeletoolCX</a> for EDC multitool<a href="https://mathstodon.xyz/tags/Benchmade" class="mention hashtag" rel="nofollow noopener" target="_blank">#Benchmade</a> <a href="https://mathstodon.xyz/tags/Griptilian" class="mention hashtag" rel="nofollow noopener" target="_blank">#Griptilian</a> when I need more of an actual knife<a href="https://mathstodon.xyz/tags/Signal" class="mention hashtag" rel="nofollow noopener" target="_blank">#Signal</a> for <a href="https://mathstodon.xyz/tags/messaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#messaging</a> <a href="https://mathstodon.xyz/tags/mastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#mastodon</a> for social media<a href="https://mathstodon.xyz/tags/antennapod" class="mention hashtag" rel="nofollow noopener" target="_blank">#antennapod</a> for podcasts<a href="https://mathstodon.xyz/tags/streamlightwedgext" class="mention hashtag" rel="nofollow noopener" target="_blank">#streamlightwedgext</a> for <a href="https://mathstodon.xyz/tags/EDC" class="mention hashtag" rel="nofollow noopener" target="_blank">#EDC</a> flashlight

Thomas A Caswell :python:Hi all! I'm Thomas Caswell and I work on OSS. Trained as a physicist, but these days I work as an <a href="https://fosstodon.org/tags/RSE" class="mention hashtag" rel="nofollow noopener" target="_blank">#RSE</a> supporting scientists working in <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>.I am the current Project Lead of <a href="https://fosstodon.org/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#Matplotlib</a> , a core dev of <a href="https://fosstodon.org/tags/h5py" class="mention hashtag" rel="nofollow noopener" target="_blank">#h5py</a> and a PSF Fellow.I'm based in NYC and work at BNL at NSLS-II where I help build data acquisition, management, and analysis tools for experimental scientists.<a href="https://fosstodon.org/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#introduction</a>

Jouni Seppänen<a href="https://kamu.social/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#introduction</a>: I'm a software developer and occasional data scientist living in <a href="https://kamu.social/tags/Helsinki" class="mention hashtag" rel="nofollow noopener" target="_blank">#Helsinki</a>. Favourite technologies include <a href="https://kamu.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>, <a href="https://kamu.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a> (I started the PDF backend way back), <a href="https://kamu.social/tags/go" class="mention hashtag" rel="nofollow noopener" target="_blank">#go</a>, <a href="https://kamu.social/tags/clojure" class="mention hashtag" rel="nofollow noopener" target="_blank">#clojure</a>. Currently employed as a consultant at Reaktor. I coach <a href="https://kamu.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#math</a> olympiad contestants and am trying to learn <a href="https://kamu.social/tags/taichi" class="mention hashtag" rel="nofollow noopener" target="_blank">#taichi</a>.I am single-sided deaf because of an acoustic neuroma, so I'm not very good company at cafes or parties or on the phone, and get tired easily when talking to people.

Tanguy FardetJust released version 0.4 of mpl-chord-diagrams with support for directed chords 🎉 <a href="https://codeberg.org/tfardet/mpl_chord_diagram" rel="nofollow noopener" target="_blank">https://codeberg.org/tfardet/mpl_chord_diagram</a><a href="https://zenodo.org/record/6583471" rel="nofollow noopener" target="_blank">https://zenodo.org/record/6583471</a>If you're looking for a simple library in <a href="https://fediscience.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> to make <a href="https://fediscience.org/tags/chordDiagrams" class="mention hashtag" rel="nofollow noopener" target="_blank">#chordDiagrams</a> with <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a>, then this is for you!You can simply install it via pip.<a href="https://fediscience.org/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#science</a> <a href="https://fediscience.org/tags/dataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataViz</a> <a href="https://fediscience.org/tags/plotting" class="mention hashtag" rel="nofollow noopener" target="_blank">#plotting</a>

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