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.

Infographic titled 'Can you fix it?' showing repair success rates (0–100%) for the 100 most common items brought to Repair Cafés between 2015 and 2025. A horizontal dot plot grouped by product category. Non-electric items (like knives, scissors, and bikes) have the highest success rates, with knives and scissors at 98%. Electric appliances, tools, TVs, printers, and phones have lower and more varied success rates. Overall success rate: 62% across 136,000 repairs. Plot credit: Yanika Borg (https://www.linkedin.com/in/yanikaborg/)

@dslc.io welcomes you to week 14 of #TidyTuesday! We're exploring Repair Cafes Worldwide!

📂 https://tidytues.day/2026/2026-04-07
🗞️ insideclimatenews.org/news/11112025/todays-cli...

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

From the DSLC.video aRchives:

🟢 An Introduction to Statistical Learning with Applications in Python: Linear Regression youtu.be/OLpX4Oks11U

Support the Data Science Learning Community at patreon.com/DSLC

#dataBS #AI #DeepLearning #pyData #artificialIntelligence

How dare I prioritize giving you useful links without actually adding any hashtags that would make this entire post findable 🫠 honestly, sometimes i forget how BlueSky works, y'all

#rstats #databs #python #pydata

Recent DSLC.io club meetings:

🟢 Deep Learning w Python: A deep dive on Keras youtu.be/N1lmeYt9j7o

Support the Data Science Learning Community at patreon.com/DSLC

#dataBS #PyData #DeepLearning #AI

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

2026 Posit Internships Posit is sponsoring four summer internship positions in 2026.

Posit is hiring 4 summer interns! Work on PyData tools, tidymodels, Shiny accessibility, or Posit Connect. 10-12 weeks starting May 26.

Learn more: tidyverse.org/blog/2026/03...

#PyData #Python #RStats

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 photo of the ocean from the shore. Small waves are breaking on a rocky beach in the foreground. The sun is shining from behind a few clouds on the horizon in an otherwise clear blue sky.

@dslc.io welcomes you to week 13 of #TidyTuesday! We're exploring Coastal Ocean Temperature by Depth!

📂 https://tidytues.day/2026/2026-03-31
📰 https://data.novascotia.ca/stories/s/a25g-piws

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

I love it when concepts in mathematics and statistics are explained with a cool interactive application.
#pydata #stats #mathsky
ekf-cstr-demo.streamlit.app

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

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

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

Why the R and PyData Communities Should Move Away from Meetup.com Preface: This piece was created as a spoken dictation into a voice‑to‑text app. There’s an obvious indication of that slightly AI‑generated cadence around the text, as I just got AI to tidy up and for...

Why the R and PyData Communities Should Move Away from Meetup.com
#rstats #pydata
kobriendublin.ghost.io/why-the-r-an...

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

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

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

Y termina Sergio Paniego de @hf.co sobre fine-tuning con TRL y OpenEnv

#PyDataMadrid #PyData

Y sigue el equipo de Dentsu, quienes nos van a hablar de sus desafíos poniendo un agente en producción

#PyDataMadrid #PyData

Como siempre, empieza @juanlu.space introduciendo #PyDataMadrid, #PyData y @numfocus.bsky.social

🏭 Fine-tuning de LLMs con TRL + OpenEnv y Agentes en producción | Guild Mar 18th 7:00PM: Importante Nuestro anfitrión necesita tus datos para el acceso al edificio, no olvides introducirlo en el formulario de registro. PyData Madrid vuelve en marzo para hablar de Python...

¡Arrancamos! 🏭 Fine-tuning de LLMs con TRL + OpenEnv y Agentes en producción

#PyDataMadrid #PyData

redirecting...

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

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

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

Schedule | Applied Machine Learning Conference A two-day conference bringing together data scientists, AI engineers, and ML practitioners in Charlottesville, VA. April 17-18, 2026.

Schedule Released: 2026 Applied Machine Learning Conference appliedml.us/2026/schedule/

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

The Optimization Ladder Python loses every public benchmark by 21-875x. I took the exact problems people use to dunk on Python and climbed every rung of the optimization ladder -- from CPython version upgrades to Rust. Real ...

Very interesting summary of different approaches to improve #python / #pydata performance: cemrehancavdar.com/2026/03/10/o...

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)

PyData Southampton - 22nd Meetup, Tue, Mar 17, 2026, 7:00 PM | Meetup **Venue**: Carnival House, 100 Harbour Parade, Southampton, SO15 1ST **📢 Want to speak 📢: [submit your talk proposal](https://bit.ly/pydataSoton-talks)** **Main Talks**

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

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

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