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Grilled Cheese is a product of Village Compute

Version devBuilt at: 2026-10-12 04:31:30 EDT

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@jeremy-data.bsky.socialSep 17, 2026, 2:52 PM

Was great seeing so many peeps from federal agencies and state and local governments at #positconf2026. Open source data science is stronger than ever in #government. I’m always happy to chat if you want to talk more. #RStats #PyData #DataBS

@jeremy-data.bsky.socialSep 17, 2026, 2:28 PM

#RStats and #PyData peeps. Don’t fear IT at work. We’ll demo Package Manager (PPM) for your IT and their fear of the ecosystems will fade and open doors for you. PPM is your gateway to approved R and Python at work! Thanks to all at #positconf2026 who talked PPM with me. You got this!

@juanlu.spaceSep 17, 2026, 8:46 AM

¡Vuelve @madrid.pydata.org!

La gente maja de Masorange nos hablará sobre agentes de voz para atención al cliente 🤖 y Xoople de uno de mis temas favoritos, procesamiento de imágenes satelitales 🛰️

Reserva tu plaza 👇🏼

#PyData #PyDataMadrid

@dslc.ioSep 15, 2026, 5:11 PM

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

@jonthegeek.comSep 14, 2026, 4:58 PM

@dslc.io welcomes you to week 37 of #TidyTuesday! We're exploring Dead Sea Scrolls Manuscripts!

📂 https://tidytues.day/2026/2026-09-15
📰 https://www.deadseascrolls.org.il/

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

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.Bar chart showing manuscript copy counts by biblical book, with deuterocanonical books highlighted in orange alongside protocanonical books in blue.
@manishdatt.comSep 14, 2026, 4:42 PM

Introducing Kalonji - a python notebook desktop app. Download for free now at kalonji.bioinfo.guru

#python #ide #notebook #ai #jupyter #pydata #dataviz
#bioinfoGuru

@houseofmoran.comSep 12, 2026, 9:10 AM

I really love when someone finds a way to take a nuisance effect like noise and turn it into a signal, particularly when it doesn't require buying lots of new hardware 😀 I was already impressed by the first application they showed, but then came three more 👏 !

#pydata

pretalx.com/pydata-amste...

@pydatastl.bsky.socialSep 11, 2026, 5:02 PM

Missed our August 31 event?
The recording of Ammar Alim’s talk, “The AI Security Paradox: Asymmetric Threats, the Token Tax, and the Future of Application Defense,” is now live!
Watch here: www.youtube.com/watch?v=gEJw...
Thank you, Ammar, for speaking with our community!
#PyData #Cybersecurity

@pydatastl.bsky.socialSep 10, 2026, 2:22 PM

A huge thank you to Saurabh Sharma for speaking at PyData St. Louis yesterday!
We really appreciate the time and effort he put into sharing his knowledge with our community.
And thank you to everyone who joined us!
#PyData #StLouis #AgenticAI

@pydatastl.bsky.socialSep 9, 2026, 5:03 PM

Today! 🚀
Join PyData St. Louis in person as Saurabh Sharma of AWS presents “Accelerating Enterprise Modernization with Agentic AI: Inside AWS Transform.”
Come learn how AI agents are transforming legacy systems and enterprise modernization.
www.meetup.com/pydata-st-lo...
#PyData #AI #AWS

@columnar.techSep 9, 2026, 3:50 PM

This Friday at PyData Amsterdam 2026, Matt Topol will show how DuckDB (@duckdb.org) and ADBC (@arrow.apache.org) work together to make data analytics in Python faster and easier.

Join us on September 11 at 11:05!
pretalx.com/pydata-amste...

#PyData #Python #DuckDB #ApacheArrow #ADBC #DataAnalytics

Promotional graphic for Matthew Topol's PyData Amsterdam 2026 talk, "DuckDB + ADBC: Faster, Easier Data Analytics in Python," on September 11, featuring the Python, DuckDB, Apache Arrow, and Columnar logos.
@pydatastl.bsky.socialSep 8, 2026, 5:02 PM

Tomorrow! 🚀
Join PyData St. Louis in person as Saurabh Sharma of AWS presents “Accelerating Enterprise Modernization with Agentic AI: Inside AWS Transform.”
Explore how agentic AI is changing enterprise modernization.
www.meetup.com/pydata-st-lo...
#PyData #AI #AWS

@dslc.ioSep 8, 2026, 4:46 PM

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

@pydatastl.bsky.socialSep 7, 2026, 5:02 PM

Just 2 days away! 🚀
Join PyData St. Louis in person on Sept. 9 as Saurabh Sharma of AWS presents “Accelerating Enterprise Modernization with Agentic AI: Inside AWS Transform.”
Learn how AI agents are reshaping legacy modernization at scale.
www.meetup.com/pydata-st-lo...
#PyData #AI #AWS

@jonthegeek.comSep 7, 2026, 4:26 PM

@dslc.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!

📁 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9Nqs

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

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.Coffee beans.