Curator: @jonthegeek
https://DSLC.io welcomes you to week 23 of #TidyTuesday! We're exploring U.S. Judges and the historydata R package!
https://tidytues.day/2025/2025-06-10
https://ropensci.org/blog/2023/02/07/what-does-it-mean-to-maintain-a-package/
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
I'm back from a busy four days in London! 
I had a great time at #PyData London and you can read my recap and highlights here: https://www.linkedin.com/feed/update/urn:li:ugcPost:7337737641745924096/
#NLP expert Ines is back to speak at #PyData London. Make sure you join the #FeministAI party after her talk.
The PyData London 2025 Conference Schedule is Here!
The wait is over—the official schedule for PyData London 2025 is now live!
Website: https://pydata.org/london2025/schedule
Plan your weekend of insightful talks, hands-on workshops, and incredible networking opportunities with the brightest minds in data science and machine learning.
"I came for the language, but I stayed for the community." ... I wish I could say. 
PyCon DE & PyData 2025
I wish I could have attended PyCon DE & PyData 2025, but was unable to due to unfortunate factors. Let me explain.
My name is Jessica, and I'm a maintainer of python libraries used by millions. I've used python for over 10 years, and have recently started joining the community where ever I'm able to.
I'm also fully blind.
Back In January/February I applied for financial aid to attend, and at the end of February my application was gracefully accepted.
Come the very start of March, when my acceptance had been confirmed, I wrote to the main PyCon DE & PyData help desk, explaining my situation, that I'm fully blind, and asking if any accommodations were possible and could be made.
A few days later I got a reply, that my request had been forwarded to the correct team, and that THEY would get back to me.
Waiting, is not fun, especially when you also have to book flights and accommodations for being there, especially if you don't know if it's all going to be for nothing.
A "Sorry, we are unable to provide accommodations" is totally okay, but that was not the answer I got.
I heard nothing.
Having heard nothing at end of March, I reached out again, to the help desk, asking for a followup at the start of April.
A whole week later, a little over a week away from the conference at this point, I get a response from the main desk again, letting me know that they've followed up directly with the on-site team, and someone will be in contact with me shortly to coordinate the best possible support for me.
Yet again - silence.
No email, no call, no dm... Nothing.
So I ended up not being able to attend. Not being able to join the community that I have come to love and cherish so much. And it's especially hard, because it's the closest PyCon to where I leave.
And let me be clear. I would totally have accepted a no, a sorry we can't do that. But hearing nothing at all, even after multiple followups, is not acceptable, regardless of if they were able to provide accommodations or not.
Personal opinion?
I feel like the community, in some way, has failed. For all the talk about accessibility, inclusion and diversity, it only feels like that mattered in this case if you were able to make things accessible yourself, if you were able to include yourself.
"I came for the language, but couldn't join the community" 
Feel free to like, comment or repost
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
do any of you happen to have have a script or scripts you can share that use both #python and R code? #pydata #RStats #datascience
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
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.
https://posit.co/blog/hadley-wickham-on-effective-r-and-python-data-science-workflows/
#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/
Let's grow together at PyData Paris 2025!
https://DSLC.io welcomes you to week 12 of #TidyTuesday! We're exploring Text Data From Amazon's Annual Reports!
https://tidytues.day/2025/2025-03-25 https://gregoryvdvinne.github.io/Text-Mining-Amazon-Budgets.html
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
We're delighted to announce that Jonathan McPherson – software architect at Posit PBC – will be a keynote speaker at posit::conf(2025)!
Learn more and register at pos.it/conf
Final call for signing up to #HumbleData workshop at #PyConDE #PyData, sign up to become a #learner or #mentor before *17th March* for our workshop on 22nd April at #Darmstadt (link in comment) - come and make new friends at the #Python #DataScience community
Recent @DSLC club meetings:
RustLang: Patterns and Matching https://youtu.be/YM5z-z7pHtw #rustLang
From the @DSLC 
chives:
"ISLP: Tree-Based Methods" https://youtu.be/MJT2kTCHYXM #pydata
#python #machineLearning
"Explanatory Model Analysis: Partial-dependence Profiles"
https://youtu.be/nQPiXQx_omA #RStats
"RWTF: Maintaining R" https://youtu.be/gs_QPowod0U #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
https://DSLC.io welcomes you to week 8 of #TidyTuesday! We're exploring Academic Literature on Racial and Ethnic Disparities in Reproductive Medicine in the US!
https://tidytues.day/2025/2025-02-25 https://katcorr.github.io/this-art-is-HARD/
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
Does anyone have advice for unit testing a Polars Python expression? Say I have:
def my_func(a, b):
return (pl.col(a) / pl.col(b))
How do you unit test? We want to compare the result of this function to an expectation. At the moment we’re wrapping the result in str(), which gives us a stringified version of the expression. Then we assert that it is equal to the stringified expression that we would expect.
It works, just feels a little bit fragile. Unfortunately you can’t compare expressions directly with the equality operator ==. And polars.testing doesn’t have asserts for it either.
(We are of course also going to have integration tests, where the expression actually gets used on a df fixture)
"Your p-value must be minuscule because I'll never fail to reject you."
Looking for the perfect gift for your statistically significant other, or a gift for yourself?
Skip the chocolates and flowers – give the outlier in your life the gift of knowledge! 
posit::conf(2025) is the perfect place for you to connect with fellow data science enthusiasts. It's the ultimate gift for anyone who loves all things data.
#positconf2025 #datascience #valentinesday #rstats #pydata #python
pos.it/conf
We're excited to announce Catherine Nelson as keynote speaker at posit::conf(2025)!
Author of "Software Engineering for Data Scientists," she'll share how data scientists can benefit from software engineering best practices!
Sept 16-18 in Atlanta. pos.it/conf
Deadline for submissions to PyData London 2025 is 24 Feb.
Maybe you’d like to give a talk? Python or data or both.
#Python #Data #PyData @pydatamadrid @PyDataParis @PyData @pydataprague @pyconde
About to start @pydataprague.bsky.social !
Will talk about why I archived #poliastro 
#PyData #PyDataPrague #python
