pythonbrasil (@pythonbrasil@pynews.com.br)
Tutorial
Exploring 2D and 3D geometry libraries in Python - Alexandre Villares e Jim Schmitz
This tutorial will explore the creation and manipulation of 2D and 3D geometric objects. Specifically, it will focus on the shapely and trimesh libraries in the context of creative coding using py5.
#python #bolhadev #pythonbrasil #pybr2025
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caten (@caten@mathstodon.xyz)
I've been getting into C++ a bit. I'm still mainly writing Python, but I feel like C++ will be a good next step for me since I'd like to write extensions for Python in C++, among other things.
One thing I've found to be weird is that C++ has a functor construct which can take several arguments, but the limit is 15 (12 in older implementations). Like, I'm not that surprised since variable-length arrays are not built-in in C++, but it feels weird to have such an abstraction take multiple arguments without being variadic.
Maybe it will make more sense once I know more.
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djangocon (@djangocon@fosstodon.org)
🎫 Get tickets: https://ti.to/defna/djangocon-us-2025
📅 Full schedule: https://2025.djangocon.us/schedule
💬 Questions? hello@djangocon.us
#DjangoCon #Django #WebDev #Python #Chicago #Tech #Conference
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habr (@habr@zhub.link)
Что такое детерминизм и как с ним бороться?
Привет, Хабр! Много лет можно наблюдать один и тот же ритуал: человек берёт фиксированный seed, торжественно записывает его в три места, запускает обучение и искренне ожидает, что всё будет повторяться до бита. А потом accuracy скачет на третьем знаке, лосс уплывает и приходит вопрос: «Почему не детерминируется?» А потому что детерминизм в ML это не один флажок. Это сумма десятка мелких факторов, от выбора алгоритма в cuDNN до порядка файлов в каталоге.
https://habr.com/ru/companies/otus/articles/941812/
#python #ml #детерминизм_в_ML #повторяемость_экспериментов #reproducibility #PyTorch_deterministic_mode #cuDNN_детерминизм #random_seed #фиксированный_seed #pythonhashseed
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meejah (@meejah@mastodon.social)
A local-only example of ShWiM in action (works the same if the two terminals are on different machines)
https://git.sr.ht/~meejah/git-withme
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ItsThatDeafGuy (@ItsThatDeafGuy@beige.party)
Looks like I'm gonna have to teach myself #Python...... *GULPS*
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adtzlr (@adtzlr@mathstodon.xyz)
What do you think, which #logo is better? It's for an open source FEA #python package.
Logo A or B?
#scientificcomputing #computationalmechanics #finiteelements #design
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rod2ik (@rod2ik@mastodon.social)
#Python - Comment un petit #projet de #Noël est devenu le #langage de l' #IA #AI et de la #science
https://korben.info/python-documentaire-histoire.html
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r (@r@fed.brid.gy)
#Python - Comment un petit #projet de #Noël est devenu le #langage de l' #IA #AI et de la #science
korben.info/python-docum...
Python - Comment un petit proj...
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kimschulz (@kimschulz@social.data.coop)
Meet TuSSH – A Retro-Modern Way to Tame Your SSH Jungle
Say hello to TuSSH - a retro-modern terminal app for managing SSH connections with ease. Instead of wrangling a messy ~/.ssh/config, you get a smooth, scrollable interface where hosts are listed, details shown, and connections launched with a single keystroke. Adding or editing hosts
https://schulz.dk/2025/09/05/meet-tussh-a-retro-modern-way-to-tame-your-ssh-jungle/
#Code #projects #announcement #github #project #python #ssh
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Posit (@Posit@fosstodon.org)
Announcing a new blog series on LLMs from Veerle Eeftink - van Leemput!
In Part 2, “Talking to LLMs: From Prompt to Response”, we get hands-on with LLM-powered apps. This guide is for #Python & #RStats users who want to go beyond the basics.
Check it out here: https://shiny.posit.co/blog/posts/shiny-side-of-llms-part-2/
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ataustin (@ataustin@fosstodon.org)
It's Friday, let's open a can of worms!
To what extent do principles of software development apply to data science? Why do you think so?
Not a novel question, but still a sincere (and intentionally broad) one. DS practice is so varied, and I'd like to collect perspectives on when DS work needs to consider practices more common in software.
The interface of DS with Ops work (e.g. model deployment, CI/CD) might be an obvious candidate. What are others?
#RStats #python #DataScience
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