I love it when concepts in mathematics and statistics are explained with a cool interactive application.
#pydata #stats #mathsky
ekf-cstr-demo.streamlit.app
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Hashtag
#PyData
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From the DSLC.video aRchives:
🟢 Deep Learning with Python (3e): Fundamentals of machine learning youtu.be/MkpVgxuJGjY
🔵 Advanced R: Vectors youtu.be/HRL1EursTR8
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #AI #DeepLearning #GenAI #PyData #RStats
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Will we finally get nice html representations of @movingpandas Trajectories and TrajectoryCollections?
Inspired by #pydata #xarray 🤩
WIP 👩💻 : https://github.com/movingpandas/movingpandas/issues/293
Any feedback / ideas welcome!
#GISChat #MovementDataAnalysis
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It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS
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Why the R and PyData Communities Should Move Away from Meetup.com
#rstats #pydata
kobriendublin.ghost.io/why-the-r-an...
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Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.
TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
A collection of gauge charts each representing one digit from 0 to 9. Each gauge shows the probability that a digit is immediately followed by itself in the first million digits of pi. Arc length encodes the self-transition rate, with a white line marking the expected 10.00% baseline. The arc appears to range from 9% to 11%. All ten digits fall within 0.20 percentage points of the expected rate, supporting the conjecture that pi is a normal number.
@dslc.io welcomes you to week 12 of #TidyTuesday! We're exploring One Million Digits of Pi!
📂 https://tidytues.day/2026/2026-03-24
📰 www.jpl.nasa.gov/edu/news/how-many-decima...
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
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Kermit the frog screaming with excitement
We have summer internships y'all! Come work at Posit on the PyData, tidymodels, shiny, or Connect teams: grnh.se/tigz810a3us. You will have an awesome time, learn a ton, and help advance our open source and pro tools 🧰 #rstats #pydata
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Also, using the UI is the MOST SUCCESSFUL WAY I've ever been able to stash and pop changes. It's so niiiiice!
Heres a fun game: count how many times I mention git making me cry (in the past) in this video 😂 #positron #databs #GitHub #Git #rstats #pydata
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Y sigue el equipo de Dentsu, quienes nos van a hablar de sus desafíos poniendo un agente en producción
#PyDataMadrid #PyData
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Are you trying to learn how to do something data-related in #RStats, #PyData, #JuliaLang, #RustLang, and/or #JavaScript? We currently have **2203** videos at DSLC.video! If you learn something through them, reply to the video to let us know! #DataBS #DataScience #AI #MachineLearning #RShiny #PyShiny
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It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS
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From the DSLC.video aRchives:
🔵 🟢 Mastering Shiny: The reactive graph youtu.be/1tU3ZKfrx2o
🔵 Statistical Rethinking: youtu.be/ESdG_sF3Px8
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #PyData #PyShiny #RShiny #RStats
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We’re thrilled to have Emily Riederer keynoting at #positconf 2026! A leader at Capital One and a champion for open science, Emily is the expert on bridging the gap between data science and engineering.
✨ Level up your workflow with us: pos.it/conf
#rstats #pydata #DataEngineering #MachineLearning
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Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.
TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
Dozens of salmon swim in netted cage. Photo: "Rudolf Svensen"
@dslc.io welcomes you to week 11 of #TidyTuesday! We're exploring Salmonid Mortality Data!
📁 https://tidytues.day/2026/2026-03-17
📰 www.vetinst.no/arrangementer/lansering-...
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
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Very interesting summary of different approaches to improve #python / #pydata performance: cemrehancavdar.com/2026/03/10/o...
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A survey question in slido that says "Do you use regression modeling in your job?" 48 people voted. 81 percent answered yes and 19 percent answered no
Do you use regression in your job? I asked the Hangout Crew today and we got a pretty ok n of 48 😂 #rstats #databs #pydata (I couldn't vote, but add me to the yes)
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I'm looking forward to PyData Southampton next week - talks on Azure AI Foundry, astronomical image alignment and AI for sign language.
Sign up at www.meetup.com/pydata-south... and come along at 7pm Tues 17th at Carnival's HQ, Southampton
@pydatasoton.bsky.social #pydata #python #ml #ai
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From the DSLC.io aRchives:
🟢 Python for Data Analysis: NumPy Basics: Arrays and Vectorized Computation: Part 1 youtu.be/pcawrnmBBNI
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #PyData
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Can anyone recommend some data science podcasts on really any aspect of the biz? My go-tos are the R podcast and the test set, but curious what others are listening to!
#rstats #pydata
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It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS
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In 2023, I launched "Model to Meaning," a free website to help researchers make sense of statistical and machine learning models, using the marginaleffects package for #RStats and #PyData. The announcement thread got lots of likes and reposts.
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Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.
TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
A chart from github.com/adamkucharski showing the distribution of estimated probabilities for different phrases, ranked by mean. The y-axis is labeled with the individual phrases, and the x-axis shows the probabily percent from 0 to 100%. Each point is an individual response, with the mean for each phrase shown as a hollow red circle, and the median for each phrase shown as a red diamond. 'Will Happen' is top with a median 100% and mean 98% probability, and 'Almost No Chance' is bottom with a median 2% and mean about 3.5% probability. 'Realistic Possibility', 'May Happen', 'Might Happen', and 'Could Happen' each have points spanning roughly the entire range from 0% to 100%.
@dslc.io welcomes you to week 10 of #TidyTuesday! We're exploring How likely is 'likely'?!
📂 https://tidytues.day/2026/2026-03-10
📰 https://adamkucharski.github.io/CAPphrase/
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
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Recent DSLC.io club meetings:
🔵🟢 DevOps4DS: Q&A with Author Alex Gold youtu.be/SbKo78fffwo
From the DSLC aRchives:
🔵 ggplot2: Themes youtu.be/rcyJ9VfMSCA
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #RStats #PyData #DevOps
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Honorable mention of @andrew.heiss.phd' recreation of FiveThirtyEight‘s "Hack Your Way To Scientific Glory" with @observablehq.com
#rstats #stats #julialang #pydata #observable
stats.andrewheiss.com/hack-your-way/
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I was hoping for even more examples but I see a lot of bookmarks. People seem to like this stuff.
Perhaps I should‘ve tagged #julialang and #pydata too.
When it comes to these applications I don’t care what technology has been used to create it.
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From the DSLC.io aRchives:
🔵 🟢 🟣 DuckDB in Action: DuckDB in the cloud with MotherDuck youtu.be/raU96oAaBhA
🔵 ISLR: Classification Part 2 youtu.be/QE9Rjw11y7g
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #DuckDB #JuliaLang #PyData #RStats
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