r (@r@fed.brid.gy)
Sweet! @nedbat.com released new #coveragepy supporting a dedicated `.coveragerc.toml` config in the default discovery mechanism implemented by @blog.yefymenko.pp.ua! I should now `pip install 'coverage >= 7.13.0'` everywhere! #Python
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r (@r@bsky.brid.gy)
Sweet! @nedbat.com released new #coveragepy supporting a dedicated `.coveragerc.toml` config in the default discovery mechanism implemented by @blog.yefymenko.pp.ua! I should now `pip install 'coverage >= 7.13.0'` everywhere! #Python
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webknjaz (@webknjaz@mastodon.social)
Sweet! @nedbat released new #coveragepy supporting a dedicated `.coveragerc.toml` config in the default discovery mechanism!
I should now `pip install 'coverage >= 7.13.0'` everywhere!
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rye (@rye@ioc.exchange)
There’s a Meetup for python folks in Tucson next week
https://www.meetup.com/tucson-python-meetup/events/312302723/
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NatuRandom (@NatuRandom@mastodon.social)
Dolomedes tenebrosus
PH Jesse Rorabaugh
Pennsylvania, United States
2016-09-22 00:45:00 UTC
http://www.inaturalist.org/observations/4193795
#iNaturalist #Nature #Wild #Python #FedivEarth #Environment
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habr (@habr@zhub.link)
Multi-API Ensemble: 95% точности транскрипции региональных топонимов
В статье полный разбор архитектуры, алгоритмы scoring, примеры кода и расчёт экономики. Один STT-сервис дал 60-70% точности на специфической лексике (топонимы, названия улиц, профессиональные термины). Два сервиса параллельно + взвешенное голосование + AI-fusion для спорных случаев дали 95%+ точности. Время обработки 5-8 секунд.
https://habr.com/ru/articles/974978/
#speechtotext #whisper #gemini #salutespeech #транскрипция #распознавание_речи #сезон_ии_в_разработке #ensemble #python #asyncio
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hofmannedv (@hofmannedv@mastodon.social)
Hallo zusammen,
welche Erfahrungen habt ihr mit diesen beiden Zertifizierungen:
PCEP™ – Certified Entry-Level Python Programmer
https://pythoninstitute.org/pcep
PCAP™ – Certified Associate Python Programmer
https://pythoninstitute.org/pcap
Womit sollte das Training für PCEP/PCAP kombiniert werden, um eine verlässliche Aussage zu bekommen, dass ein Teilnehmer programmieren kann?
#python #certificate #pcap #pcep
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content (@content@socialhome.network)
Online Community Working Group GitHub repo and project
The Online Community Working Group has introduced a new GitHub repository designed to manage and track ideas, suggestions, and improvements across Django's various online community platforms.
Introducing the Online Community Working Group Repository
Primarily inspired by the rollout of the New Features repository, the Online Community Working Group has launched their own version that works in conjunction with the Online Community Working Group Ideas GitHub project to provide a mechanism to gather feedback, suggestions, and ideas from across the online community and track their progression.
The primary aim is to help better align Django's presence across multiple online platforms by providing:
- Centralisation: A community-platform-agnostic place to collect feedback, suggestions, and ideas from members of any of Django's online communities.
- Visibility: With a variety of platforms in use across the community, some of which require an account before their content can even be read, discussions can happen in what effectively amount to private silos. This centralised repository allows all suggestions and ideas to be viewed by everybody, regardless of their community platform of choice.
- Consistency: A suggestion for one platform can often be a good idea for another. Issues and ideas raised centrally can be assessed against all platforms to better align Django's online community experience.
How to use the Online Community Working Group Repo
If you have an idea or a suggestion for any of Django's online community platforms (such as the Forum, Discord, or elsewhere), the process starts by creating an issue in the new repository.
You'll be asked to summarise the idea, and answer a couple of short questions regarding which platform it applies to and the rationale behind your idea.
The suggestion will be visible on the public board, and people will be able to react to the idea with emoji responses as a quick measure of support, or provide longer-form answers as comments on the issue.
The Online Community Working Group will review, triage, and respond to all suggestions, before deciding whether or how they can be implemented across the community.
Existing Online Communities
Note that we're not asking that you stop using any mechanisms in place within the particular community you're a part of currently—the Discord #suggestions channel is not going away, for example. However, we may ask that a suggestion or idea flagged within a particular platform be raised via this new GitHub repo instead, in order increase its visibility, apply it to multiple communities, or simply better track its resolution.
Conclusion
The Online Community Working Group was relatively recently set up, with the aim of improving the experience for members of all Django's communities online. This new repository takes a first step in that direction. Check out the repository at django/online-community-working-group on GitHub to learn more and start helping shape Django's truly excellent community presence online.
https://www.djangoproject.com/weblog/2025/dec/09/online-community-working-group-github-repo-and-pro/
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driscollis (@driscollis@mastodon.social)
Here's another fun #Python visual made with the turtle module 🐍🐢🔥
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andrea_navarro (@andrea_navarro@mastodon.social)
🔍 ¿Conocés los MÉTODOS ESPECIALES en Python?
Los métodos con doble guión bajo (init, str, len, etc.) son una de las características más poderosas de Python, pero pocos los dominan realmente.
En este nuevo artículo te explico:
✅ ¿Qué son realmente los métodos especiales?
✅ Los métodos más útiles en proyectos reales
✅ Cómo implementar operadores personalizados (+, -, ==, etc.)
https://juncotic.com/poo-metodos-especiales-en-python/
#Python #POO #Programación #DesarrolloSoftware #PythonTips #python
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pythonrennes (@pythonrennes@social.breizhcamp.org)
📣 la prochaine session de #Python #Rennes c'est demain soir (mercredi 10 décembre) chez #IDnow (🙏 pour l'accueil) et ça va être super chouette de Noël !
Inscription gratuite sur https://www.meetup.com/python-rennes/events/311997869/
Si vous ne pouvez pas vous joindre à nous, les rediffusions sont disponibles sur la chaîne #YouTube du @breizhcamp : https://www.youtube.com/playlist?list=PLv7xGPH0RMUT1GSCGHJmqnswpk-nyz5aq
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GripNews (@GripNews@mastodon.social)
🌕 從零開始訓練大型語言模型（LLM），第 28 部分：在 RTX 3090 上從零開始訓練基礎模型
➤ 個人硬體實踐：在 RTX 3090 上從頭打造 GPT-2 小型基礎模型
✤ https://www.gilesthomas.com/2025/12/llm-from-scratch-28-training-a-base-model-from-scratch
作者 Giles 透過親身實踐，驗證了使用個人高階硬體（NVIDIA RTX 3090）從零開始訓練一個具備 1.63 億參數的 GPT-2 小型基礎模型是可行的。他採用了與Sebastian Raschka著作中相同的模型架構，並利用 Hugging Face FineWeb 系列資料集，在約 48 小時內成功訓練出一個效能接近原始 GPT-2 的模型，證明瞭即使是個人開發者，也能在大語言模型領域有所作為。
+ 太棒了！一直以為訓練 LLM 只能是大公司的事，這篇文章證明瞭個人也能做到。RTX 3090 真的很給力！
+ 感謝作者詳細的技術分享，讓我
#AI #LLM from scratch #深度學習 #Python
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