Собрали в одном месте самые важные ссылкии сделали Тренажер IT-инцидентов для DevOps/SRE
Панель отладки и профилирования Django приложений. Скачать можно по ссылке: https://pypi.python.org/pypi/django-debug-toolbar/
Hardcoded paths and parameters can quickly drift out of sync across a data science project’s scripts. This article shows how to move them into Hydra configuration files, access values with dot notation, override settings from the command line, swap entire configuration groups, and run experiment sweeps with a single multirun flag.
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Библиотека работы с базами данных. Скачать можно по ссылке: https://pypi.python.org/pypi/SQLAlchemy/
Инструмент создания виртуального рабочего окружения. Скачать можно по ссылке: https://pypi.python.org/pypi/virtualenv
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How can you move from manually writing prompts for an LLM application toward defining them programmatically? This week on the show, Brett Kennedy returns to discuss his new book "Building LLM Applications with DSPy."
Модуль для легковесных потоков в Python. Скачать можно по ссылке: https://pypi.python.org/pypi/greenlet/
Статический анализатор Python-кода. Скачать можно по ссылке: https://pypi.python.org/pypi/pylint/
Модуль для работы с многомерными массивами. Скачать можно по ссылке: https://pypi.python.org/pypi/numpy/
A recap on the work done in NumPy and CPython to make multi-threaded NumPy workloads scale on the free-threaded build of CPython.
Floating point math is often slower than integer math because the compiler is being conservative about how it optimizes your code. While some programming languages already had solutions of a sort, until now Rust did not have a good stable way to deal with this limitation. But now, starting in version 1.98, Rust will allow telling the compiler it can optimize your code further—but with extra control so that you can still write numeric algorithms with minimal rounding errors.