Собрали в одном месте самые важные ссылкии сделали Тренажер IT-инцидентов для DevOps/SRE
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OpenAI recently acquired Astral, the company behind uv, Ruff, and ty. And if your first thought was ‘wait, is uv toast?’, you are not alone. Talk Python interviews Charlie Marsh and they talk about the acquisition experience and how they’re shipping more code than ever.
Ken is one of the key contributors to the experimental JIT. This post talks about how Python 3.15’s interpreter profiling mode is helping them figure out what is working with the JIT and what isn’t.
Cheatsheet with visual diagrams that explain how the iterables from itertools work. This cheatsheet contains diagrams that explain how the iterables from the module itertools work in a visual way. Download this cheatsheet Download this cheatsheet
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Легкая в использовании и удобная для разработки CMS. Скачать можно по ссылке: https://pypi.python.org/pypi/django-cms/
Object detection powers transformative applications, from autonomous vehicles navigating city streets and security systems identifying threats in real time to retail analytics tracking inventory and medical imaging detecting tumors. But choosing the right model for your computer vision project can be challenging, especially with dozens of architectures claiming superiority across different metrics. In this guide, […]
How do you speed up computational Python code? A common, and useful, starting point is: Pick a good algorithm. Use a compiled language to write a Python extension. Maybe add parallelism so you can use multiple CPU cores. But what if you need more speed?