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26.12.2025 18:24
TechKeysX (@TechKeysX@mastodon.social)

S1 EP13 Lab 3 - Machine Learning in Python - When to use Private - Attributes in Python





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26.12.2025 18:17
mattesilver (@mattesilver@101010.pl)

#python
[Lapidary](pypi.org/project/lapidary/) 0.12.0 - Web API client

[Lapidary render](pypi.org/project/lapidary-rend) 0.12.1 - OpenAPI client generator

#typescript
[Betterer-json](npmjs.com/package/betterer-json) 1.0.2 - json processing with #jsonpath and #JavaScript




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26.12.2025 18:07
lvxnews (@lvxnews@mastodon.social)

Here's the Mastodon post text:

Significant shift in ML classification: A new Python library intelligently optimizes prediction thresholds, moving beyond problematic defaults. Achieves up to 40% improvement in key metrics by solving piecewise-constant metric challenges. Offers exact O(n log n) solutions for efficient, real-world implementation. For practitioners prioritizing precision & responsible ML development, this tackles a critical pain point. Details in reply....




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26.12.2025 17:50
Visionaire (@Visionaire@mastodon.social)

I've been building applications in Python, today it's Pygame's turn! 🧐

is great! 🤟 😎









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26.12.2025 17:45
treyhunner (@treyhunner@mastodon.social)

I am planning to share a tip here every day in 2026.

What hashtag should I use for this?

I'm torn between keeping it simple or going with a (slightly stretched) pun.

#DailyPythonTip
#PythonADay
Other / no preference / just show me the results




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26.12.2025 17:17
JGraber (@JGraber@mastodon.social)

Friday #311: Creating Packages With

pythonfriday.dev/2025/12/311-c




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26.12.2025 17:05
jobsfordevelopers (@jobsfordevelopers@mastodon.world)

Braze is hiring Forward Deployed Data Scientist, AI Deployment

🔧 #python #cicd #gcp #kubernetes #sql #terraform
🌎 Paris, Île-de-France, France
⏰ Full-time
🏢 Braze

Job details jobsfordevelopers.com/jobs/for
#jobalert #jobsearch #hiring




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26.12.2025 17:03
SnoopJ (@SnoopJ@hachyderm.io)

@OliviaVespera my favorite screen-code is this edited #Python from UPGRADE (2018). "Stem" is the name of an artificial intelligence in the film, as best as I can tell they produced this by:

- grabbing some random socket code online. I recall finding the exact source, but it was nothing terribly interesting.
- removing all indentations
- search-and-replace for `def` => `stem` (leading to the amusing appearance of `stemault` in the code)





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26.12.2025 17:01
PythonPeak (@PythonPeak@mastodon.social)

12-Second Python Fix For Why Multiple Get

12-Second Python Fix For Why Multiple Get This content explores interesting aspects of this topic. The information provided offers valuable insights and perspectives. Understanding this reveals how everyday things are more thoughtful than they appear. Next time you'll notice this detail. This fascinating detail shows how much thought goes into things we take for granted.

...

youtube.com/watch?v=RHEsUfRHneE




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26.12.2025 16:55
davidr (@davidr@hachyderm.io)

@ThePSF It was this post that decided me to ask for a #psf membership for #christmas

Just got the notification that it happened. Thanks for #python !





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26.12.2025 16:22
habr (@habr@zhub.link)

Как превратить звонки техподдержки в самообновляемую базу знаний на Python и LLM

Привет, Хабр! База знаний в поддержке почти всегда отстаёт от реальности: знания появляются в звонках, остаются в умах операторов, а в документацию попадают выборочно и с задержкой. При этом сами звонки уже записываются и транскрибируются. В этой статье разберём инженерный способ автоматически извлекать из этого потока проблемы и решения и вести актуальную базу знаний с помощью Python, МТС Exolve и LLM.

habr.com/ru/companies/exolve/a

#мтс_exolve #мтс_exolve_api #нейросети #python #коллцентр #звонки #транскрибация #техническая_поддержка #документация




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26.12.2025 14:50
km (@km@mastodon.babb.no)

mongers.uptime.is has been running for 35d 23h 42m 15s, did 1 414 730 checks and sent 1 421 alerts.

during pre-launch testing, which had been going on for 994499 seconds (~ 11,5 days), it did 202 889 194 checks, which is about 204 checks/second.

if we ever hit _that_ load, I'll think about adding more master processes -- the architecture is ready for that: I can have lots of masters and lots of runners, on local host or remote hosts.

#Twisted #Python makes distributed quite easy!




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