Cito (@Cito@fosstodon.org)
Released PyGreSQL 6.2.0 #PostgreSQL adapter for #Python https://pygresql.github.io/
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lobsters (@lobsters@mastodon.social)
What’s new in Python 3.15 https://lobste.rs/s/fvvnl4 #python
https://docs.python.org/3.15/whatsnew/3.15.html
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TechKeysX (@TechKeysX@mastodon.social)
V - S1 EP12 Lab 2 - Machine Learning in Python - Instance Assignment Shadows - the Class Variable #mlforbeginners #machinelearning #pythoncoding #learnpython #dataengineering #machinelearningmodels #codingforbeginners #vscode #jupyternotebook #PythonForDataScience #statistics #machinelearningtutorial #datascienceforbeginners #machinelearningbasics #algorithims #jupyterlabs #softwaredeveloper #datascience #python #aiexplained
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habr (@habr@zhub.link)
Анализ 400k вакансий hh.ru: как мы строили пайплайн и какие тренды нашли
Какие навыки реально нужны в IT? Разбор рынка по данным hh.ru . Мы обработали 393 000 вакансий за 2025 год и делимся результатами: универсальный стек технологий, медианные зарплаты по специальностям и доля удаленки. А еще — техническая реализация нашего open-source проекта для сбора данных.
https://habr.com/ru/articles/979118/
#Анализ_данных #Python #hhru #API #SQLite #Визуализация_данных #базы_данных #data_science #проектирование_систем
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r (@r@fed.brid.gy)
What’s new in Python 3.15
https://fed.brid.gy/r/https://docs.python.org/3.15/whatsnew/3.15.html
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zoug (@zoug@infosec.exchange)
NEW BLOG POST!
You may be tired of hearing about AI (I know I am). I however spent some time these last few weeks running and testing small and local LLMs, and in this article, I want to share how I now use them, and how you can too, no matter how beefy your computer is.
You'll hear about Ollama, a Python CLI called "llm", and the "sllm.nvim" Neovim plugin.
There's two parts to the article: a first one, technical, and a second one, focusing more on the AI bubble, the environmental costs, and the true benefits (if any) of online AI tools.
Check it out and if you have any comment, please let me know :)
https://zoug.fr/local-llms-potato-computers/
#neovim #ollama #llm #llms #ai #artificialintelligence #python #local
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RodStephens (@RodStephens@hachyderm.io)
Use point operations to make grayscale images in Python
https://rodstephensbooks.com/image_filters_v4.html
#Python #ImageProcessing #Grayscale #SepiaTone #Sepia
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nedbat (@nedbat@hachyderm.io)
In which the author dives very deep (far deeper than called for) into using Hypothesis to generate data for #Python tests:
https://nedbatchelder.com/blog/202512/generating_data_shapes_with_hypothesis.html
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mahlzahn (@mahlzahn@nerdculture.de)
Censor, a new document redaction tool, is there!
It allows to draw black rectangles on PDF documents and to permanently remove the text and images below. Find it on @Codeberg: https://codeberg.org/censor/Censor, get it from @flathub: https://flathub.org/apps/page.codeberg.censor.Censor, or translate it on Codeberg Translate: https://translate.codeberg.org/engage/censor!
It is a free and open-source graphical user interface (GUI) for #Linux and the #GNOME desktop, and uses the #MuPDF library with its #python bindings from the #PyMuPDF module.
#censorship #redaction #PDF #Codeberg #Flatpak #Flathub
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habr (@habr@zhub.link)
Нейросеть, которая не двигает стоп-лосс в 3 часа ночи. Мои эксперименты с алготрейдингом
Всё началось со знаменитого челленджа - соревнования, где разработчики пытаются создать прибыльного AI-трейдера. Идея засела в голове: а что если LLM действительно может торговать лучше человека? Без эмоций, без FOMO, без revenge trading в три часа ночи. Я решил проверить. И вот к чему это привело.
https://habr.com/ru/articles/979086/
#алготрейдинг #LLM #DeepSeek #криптовалюты #Python #трейдинг #машинное_обучение
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ChristosArgyrop (@ChristosArgyrop@mstdn.science)
@jimgar @scottishlass my stack nowadays is
#perl + #rstats on top of #clang , #sql .
I am using the former for application architecture development , management of data flows and for resource profiling of #rstats code
Given the extreme portability of both languages I don't have to worry about dependency hell (and CRAN/CPAN are better managed than any #Python repo).
#PDL is an extremely fascinating library especially for feature generation
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ChristosArgyrop (@ChristosArgyrop@mstdn.science)
@jimgar Somewhat tongue in cheek but this older benchmark shows a couple of things about base #Python vs base #Rstats vs #Perl and (surprisingly for those who don't know it exists) how fast the Perl authothreading library #PDL is vs #numba
Base #Rstats is highly optimized and the #Pythonistas unfortunately take a performance hit that they are mostly unaware about.
This and a few other other examples made me not transition to Python. #rstats ftw
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