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#pydata

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Yay!! I just submitted the complete manuscript of my upcoming book to the publisher!

Learn to easily and clearly interpret (almost) any stats model w/ R or Python. Simple ideas, consistent workflow, powerful tools, detailed case studies.

Read it for free @ marginaleffects.com

Recent @DSLC club meetings:

:python: An Introduction to Statistical Learning with Applications in Python: Classification youtu.be/W2_Al4g89hg #PyData #DeepLearning #AI

From the @DSLC :rstats:​chives:

:rstats: "Mastering Shiny: Bookmarking" youtu.be/_g4Dscc62tQ #RStats

Visit dslc.video for hours of new #DataScience videos every week!

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Recent @DSLC club meetings:

:python: Generative AI Handbook: & Chapter 16 Distributed Training and FSDP youtu.be/Il06Ixzm6sM #PyData #GenAI #AI #DeepLearning

From the @DSLC :rstats:​chives:

:rstats: "Explanatory Model Analysis: Ceteris-paribus Profiles" youtu.be/bSMWIVtrZ_4 #RStats

:rstats: "Bayes Rules! (Normal) Hierarchical Models without Predictors" youtu.be/Mn5t95fKJfM #RStats

Visit dslc.video for hours of new #DataScience videos every week!

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

"How do you test?"

.. was an interesting question at last night's #pydata Exeter where 2 of the 3 talks were on proof assistants - mine on Lean, another on Isabelle.

The answer is surprising to newcomers.

The only error you can make is in incorrectly specifying the thing you want to prove. You don't make mistakes in the proof itself.

Pretty cool!

Recent @DSLC club meetings:

:python: An Introduction to Statistical Learning with Applications in Python: Linear Regression youtu.be/hFfWajZmGio #PyData #DeepLearning #AI

From the @DSLC :rstats:​chives:

:rstats: "Tidy Modeling with R: Iterative Search" youtu.be/B2RRopTnwds #RStats

:rstats: "Statistical Rethinking:" youtu.be/pubuTNE1uiQ #RStats

Visit dslc.video for hours of new #DataScience videos every week!

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Python is the best language for statistical analysis and data science hands down. I'm currently porting all my reproducible pipelines (R in Nix shells) over to Jupyter notebooks (pip is all you need) running inside docker containers
long live Pandas!
this now a #pydata account

Recent @DSLC club meetings:

:python: Generative AI Handbook: Generative AI Handbook: Chapters 13, 14 & Chapter 14 Positional Encoding youtu.be/MNsgklCgqo8 #PyData #GenAI #AI #DeepLearning

From the @DSLC :rstats:​chives:

:rstats: "Advanced R: Functions" youtu.be/51PMEM4Efb8 #RStats

:rstats: "ggplot2: Programming with ggplot2" youtu.be/_uogaeHBG70 #RStats

Visit dslc.video for hours of new #DataScience videos every week!

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

During a recent coffee chat with Wes McKinney and Hadley Wickham, a participant asked a great question:

"How can Posit Workbench or Connect help us integrate Python scripts and R models into a cohesive and efficient workflow?"

This blog post helps unpack further how Posit’s professional products, Workbench and Connect, along with our open-source ecosystem, help create a smoother, more collaborative data science experience.

posit.co/blog/hadley-wickham-o
#RStats #python #DataScience #pydata

Call for sponsors - PyData Paris 2025 !

Join us and be part of one of the best open-source events of the year.

Sponsoring will showcase your support to the community and allow you to reach a wide audience of tech and data enthusiasts from academia and the industry.

Contact us:
Email: pydata@quantstack.net
website: pydata.org/paris2025/sponsorsh

Let's grow together at PyData Paris 2025!

PyData Paris 2025Sponsor — PyData Paris 2025