corv (@corv@social.tchncs.de)
Here's a local LLM checking my Linux server from a Mac, privately and safely using Shannot v0.3!
Built this for homelabs and Raspberry Pi setups where you want AI help without opening security holes.
https://github.com/corv89/shannot
#homelab #selfhosting #python #ai #raspberrypi #linux #devlog #security #sysadmin #privacy #llm
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pyladiescon (@pyladiescon@fosstodon.org)
📣 There’s still time to submit your PyLadies Chapter video for #PyLadiesCon 2025 (Dec 5–7)! 💜🎥
Share a 90-second video introducing your chapter, your story, and your impact in the community. 🌎✨
🗓️ Deadline: Nov 14, 2025
👉 Details:
https://conference.pyladies.com/blog
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reddit_tech_vn_bot (@reddit_tech_vn_bot@mastodon.maobui.com)
Sự khác biệt thực sự giữa Pipecat và LiveKit? Cả hai đều là framework Python mã nguồn mở để xây dựng trợ lý điện thoại AI, nhưng làm thế nào để chọn giữa chúng? #Pipecat #LiveKit #AI #TrợLyĐiệnThoại #MãNgồnMở #Python
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browsejobs5 (@browsejobs5@mastodon.social)
Why chase opportunities when you can build systems that create them? 💻✨
Data engineers don’t just write code — they automate growth, simplify workflows, and turn opportunities into results. 🚀
Start learning Data Engineering today. Master Python, SQL, Airflow, and Big Data, and let your effort work for you.
Be the one who builds the future, not just applies for it.
#DataEngineering #Python #SQL #Airflow #BigData #Automation #CareerGrowth #TechSkills #Upskill #FutureReady
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pythonjobsupport (@pythonjobsupport@mastodon.social)
Top 3 Data Cleaning Mistakes
Which one have you done before? #dataengineer #dataanalytics #bigdataanalytics #data #python #coding #deeplearning ... source
https://quadexcel.com/wp/top-3-data-cleaning-mistakes/
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riverfount (@riverfount@bolha.us)
Salve pessoal, uma pequena reflexão sobre o princípio DRY, espero que seja útil a alguém:
https://bolha.blog/riverfount/dry-o-principio-que-separa-codigo-amador-de-codigo-profissional
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djangonews (@djangonews@mastodon.social)
📰 Django News - Django security releases issued: 5.2.8, 5.1.14, and 4.2.26 - Nov 7th 2025
https://django-news.com/issues/310
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Reuven (@Reuven@fosstodon.org)
In the latest Bamboo Weekly, I pose five data-analysis questions about cellphones in schools:
• What policies do schools have?
° Do rules differ by age or region?
• What effects (positive and negative) do schools report from phone use?
Level up your #Python #Pandas skills every week: https://BambooWeekly.com
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Spyder (@Spyder@fosstodon.org)
We made a video showcasing new features of Spyder 6.1 and posted it on YouTube:
https://www.youtube.com/watch?v=lBnfVmSQLi8
* multi-cursor support in editor
* exploring remote filesystems
* graphical updater for Spyder
* profiling in the IPython console
* move between undocked panes
* explore Polars dataframe
* connect to JupyterHub
* support Ruff and Flake8
Have a look and tell us what you think!
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DaniLaura (@DaniLaura@mathstodon.xyz)
@margaret Thanks, I just code them in #Python, using the cairo library.
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JGraber (@JGraber@mastodon.social)
#Python Friday #304: Chat With CSV Files in #LangChain - #AI #nlp
https://pythonfriday.dev/2025/11/304-chat-with-csv-files-in-langchain/
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habr (@habr@zhub.link)
Чипсы вместо поиска: рекомендации пользователям, когда о них ничего не известно
На mir-kvestov.ru нужно давать рекомендации пользователям, про которых мы почти ничего не знаем: большинство не авторизованы, истории просмотров нет, на сайте только точный поиск по названию квеста. Т.е. не было даже нормальной истории текстовых запросов, из которой можно было бы собрать частотные подсказки или похожие запросы. Я обучил решающее дерево на 6500 анкетах пользователей, превратив 60 вопросов анкеты в 5 кликов по чипсам под строкой поиска. Так появилась фича, которая за пять шагов отправляет человека в нужный тип квестов. По пути пришлось согласовать математическую модель с пониманием стейкхолдеров о том «как правильно». Из этого конфликта родилось гибридное дерево, понятное и людям, и метрикам.
https://habr.com/ru/articles/964048/
#Поиск #Чипсы #Машинное_обучение #Рекомендации #Количественные_исследования #Анализ_данных #Продуктовая_разработка #Кластеризация #Решающее_дерево #python
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