DSLCvids (@DSLCvids@fosstodon.org)
From the @DSLC 
chives:
ISLP: Survival Analysis and Censored Data https://youtu.be/vqBbyZqFCuM #pydata #python #machineLearning
ISLR: Survival Analysis and Censored Data https://youtu.be/iu9TGW4f94E #RStats
ggplot2: Individual geoms https://youtu.be/XcTYBH4XbHo #RStats
Bayes Rules! (Normal) Hierarchical Models with Predictors https://youtu.be/1KCDnDqOhCQ #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
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jaseg (@jaseg@chaos.social)
Turns out it was pure slop and they didn’t even do basic testing. Hey, I learned how to block someone on github so that’s good I guess 🫠#python
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hiltsu (@hiltsu@mastodon.social)
📸 Linssi – paikallinen valokuvien hallintasovellus Linuxille.
YOLOv8-objektintunnistus, kasvojentunnistus, LLM-kuvaukset ja EXIF-data – kaikki pyörii omalla koneella, ei pilveä.
🎵 Taustamusiikki: oma kappaleeni "One in a Million"
⬇️ https://codeberg.org/hiltsu/linssi
#openSource #linux #valokuvaus #python
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martin_kirch (@martin_kirch@piaille.fr)
My presentation at #PyConFR25 is online (I'm late to notice, but thanks @AFPy !)
If you're curious about how to spawn 10000 virtual filesystems to read the @swheritage archive (in #Python) : https://indymotion.fr/w/uiD5uX2WFe9kagAvL5yR9D
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PythonPeak (@PythonPeak@mastodon.social)
How to Use the Walrus Operator to Write Less Code
:= assigns and returns in one expression. Combine assignment with conditions. It looks illegal. It's not.
#python #walrus #:= #python38 #oneliner #howto
https://www.youtube.com/watch?v=OOnbYPkT6tM
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dzwiedziu (@dzwiedziu@mastodon.social)
RE: https://mastodon.social/@dzwiedziu/115570876140855775
Sooo, remember my most boosted post of #wrapstodon 2025?
I'm still unemployed, now facing moving out of France by the end of April.
Recap: jack of all trades #Linux sysadmin, with broad, 10y+ experience in system and applications administration. Preferred location would be #Strasbourg or fully remote or as a mentee for #freelance with #ADHD.
(Please clap, I mean boost 🔁)
#Perl #Python #sysadmin #mentoring
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hiltsu (@hiltsu@mastodon.social)
📸 Linssi – a local-first photo collection manager for Linux.
YOLOv8 object detection, face recognition, LLM-generated descriptions, EXIF data – all processed locally, no cloud.
🎵 Background music: my own track "One in a Million"
⬇️ https://codeberg.org/hiltsu/linssi
#OpenSource #Linux #Photography #LocalFirst #Python #llm #yolo #photography
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sigismundninja (@sigismundninja@mastodon.nu)
I have finally decided never to use dynamically typed languages in new projects. They are a recipe for failure. At least they are not compatible with my personality. The elegance of #Scheme and the ecosystem of #Python can be deceptive, but the trade-offs are not worth the pain.
Schemers are rare and typically very competent. But the Python people simply have to learn a proper language. #Gleam looks promising. Just need more scientific packages. Official bindings for #Nx might be a good start.
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events (@events@mobilizon.fr)
Hackathon du Libre (2026 Suite)
4 avril 2026, 08:00:00 UTC - GMThttps://mobilizon.fr/events/87691a9e-71c9-4c0d-80ed-15e15c8126ab
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mgorny (@mgorny@social.treehouse.systems)
Always grateful for the new levels of stability and reliability that #RustLang rewrites of #Python stuff bring.
> a = Tibs.from_i(-1, 128)
^^^^^^^^^^^^^^^^^^^^
E pyo3_runtime.PanicException: attempt to negate with overflow
https://github.com/scott-griffiths/tibs/issues/1
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habr (@habr@zhub.link)
5 фатальных ошибок при работе с Pandas (и как их избежать)
Pandas — швейцарский нож дата-аналитика. Пара строк, и данные отфильтрованы, сгруппированы и готовы к работе. Но часто бывает так: изящный скрипт, летавший на тестовом датасете, на реальных объемах превращается в тормозящего монстра, который воет кулером и выплевывает MemoryError. Почему так происходит? Главная беда — наши привычки из чистого Python. Циклы for, apply и построчная обработка идут вразрез с архитектурой Pandas, построенной поверх массивов NumPy. В этой статье разберем 5 самых частых (и фатальных) ошибок при работе с DataFrame. Посмотрим, как безобидные решения убивают производительность и память, и научимся переписывать код так, чтобы всё работало быстро, элегантно и «по-пандасовски». Спойлер: циклов не будет.
https://habr.com/ru/articles/1008910/
#python #pandas #анализ_данных #data_science #оптимизация_кода #антипаттерны #векторизация #numpy #memoryerror
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lobsters (@lobsters@mastodon.social)
Pristan: The simplest way to create a plugin infrastructure in Python https://lobste.rs/s/xru4pp #python #release
https://github.com/mutating/pristan
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