Very interesting summary of different approaches to improve #python / #pydata performance: cemrehancavdar.com/2026/03/10/o...
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#PyData
Posts tagged #PyData on Bluesky
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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Recent DSLC.club club meetings:
🔵 AdvR:c C for R youtu.be/5SUzFMOrmHk
🟢 Deep Learning w Python: The universal workflow of machine learning youtu.be/HevrtBI6SX4
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #RStats #PyData #DeepLearning #AI
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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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PyData Prague #34 at @similarwebinsights.bsky.social 👋
Two talks, real-world ML lessons, and great data people in one room.
📅 10 March
🕕 18:00 doors | 18:30 talks
👉Join the waiting list: www.meetup.com/pydata-pragu...
#PyData #Python
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Python Injection Attacks
medium.com/@maikelmardj...
#Python #pydata #pycon #owasp #cybersecurity #infosec
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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 photograph of a Hermann's tortoise, featuring a severe injury in her shell after a fall from 20 to 30 m high cliffs. She stands on rocky cliffs, with treetops in the background.
@dslc.io welcomes you to week 9 of #TidyTuesday! We're exploring Golem Grad Tortoise Data!
📁 https://tidytues.day/2026/2026-03-03
📰 https://onlinelibrary.wiley.com/doi/10.1111/ele.70296
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
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Tickets for the 2026 Applied Machine Learning Conference are now on sale! These will sell out fast. April 17-18, Charlottesville VA appliedml.us/2026/register/. Early bird pricing through March 20, starting at only $75
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From the DSLC.video aRchives:
🟢 An Introduction to Statistical Learning with Applications in Python: Linear Regression youtu.be/PbTw-SN7-xU
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #PyData #MachineLearning
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Conference registration for the 2026 Applied Machine Learning Conference is now open! The conference will take place on April 17–18 in Charlottesville, Virginia — now just 7 weeks away. appliedml.us/2026/register/
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Just found reviewer from @simonpcouch.com: Human-scale LLM code review, as if a member of the tidyverse team were there with you to workshop your code for reproducibility, readability, and resilience. Note it's still very experimental. #Rstats github.com/simonpcouch/...
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From the DSLC.video aRchives:
🟢 An Introduction to Statistical Learning with Python: Survival Analysis and Censored Data youtu.be/SPPVmRb2Ij8
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #MachineLearning #PyData
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From the DSLC.video aRchives:
🟢 Python for Data Analysis: Time Series youtu.be/sPQAM3-m9_Y
🟢 Python for Data Analysis: Time Series: Part II youtu.be/yq9USpTCdBQ
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #PyData
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Recent DSLC.club club meetings:
🦆 DuckDB: Performance considerations for large datasets youtu.be/Q4lNf3y1YAk
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #RStats #PyData #JuliaLang #duckdb
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📝 Sign up for our #HPC with #Python and RS-DAT workshop!
Learn how to scale your data analyses in Python to clusters and supercomputers using the RS-DAT framework using #Dask, #Jupyter and #Pydata tooling!
🗓️ 19 March from 13:00 – 17:00
📍 SURF Utrecht
Register:
www.surf.nl/en/agenda/hi...
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Recent DSLC.io club meetings:
🔵 AdvR: Rewriting R code in C++ (and Rust) youtu.be/uXQSXFY4Ldc
🟢 Deep Learning w Python: Fundamentals of machine learning youtu.be/MkpVgxuJGjY
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #RStats #PyData #DeepLearning #AI
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🧠 Masterclass spotlight: Decoupled Data (April 17)
Build a production-grade Python API with clean, reliable database connections.
In this full-day, hands-on masterclass by Dr. Kristian Rother.
🎟️ Space is limited.
👉 2026.pycon.de/masterclasse...
#PyConDE #PyData #Python #Masterclasses
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Graphic to illustrate migration from meetup to luma
Linkedin Post Text explaining migration from meetup to LinkedIn
PyData Amsterdam migrating from meetup to luma.
As an aside - PyData Amsterdam has already built up a very strong presence on LinkedIn (5.3K followers)
#pydata #rstats
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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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