Собрали в одном месте самые важные ссылкии сделали Тренажер IT-инцидентов для DevOps/SRE
This is a very deep dive on a high performance statistical profiler tightly integrated with PyPy.
Don’t let the title fool you, Jonathan is pro type-hints. This post talks about all the benefits of adapting the optional practice.
A Polars LazyFrame provides an efficient way to handle large datasets through lazy evaluation. Unlike traditional DataFrames, LazyFrames don’t contain data but instead store a set of instructions known as a query plan.
This article, based on a PyCon APAC talk, covers just what FastAPI does under the hood.
My Python code was too slow, so I made it faster with Python. For some definition of “Python”.
Learn how to manage Python projects with the pyproject.toml configuration file. In this tutorial, you'll explore key use cases of the pyproject.toml file, including configuring your build, installing your package locally, managing dependencies, and publishing your package to PyPI.
This article does a deep dive data-analysis on satellite imagery of an airport. It uses pandas, geopandas, PyTorch, and more.
This is a centralized collection of documentation and trackers around compatibility with free-threaded CPython for the Python open source ecosystem.
MP 133: Naming things is hard, but renaming things can be even harder.
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Developing Python libraries with C extensions can be tricky. Learn how uv and setuptools can work together to build Cython-powered projects.
This post shows you how to create dynamic web forms, where fields are added on the fly, when coding within the Flask web framework.
A practical method for testing Django-based LLM apps with LangChain uses a custom fake backend to avoid mocks, enabling flexible refactoring and thorough validation of model interactions.