Собрали в одном месте самые важные ссылкии сделали Тренажер IT-инцидентов для DevOps/SRE
This release, 3.15.0a2, is the second of seven planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process.
Follow this Python project to build an MCP client that discovers MCP server capabilities and feeds an AI-powered chat with tool calls.
Python 3.14 is officially out, Python 3.15 begins, and Python 3.9 reaches end of life. Plus, Django 6.0 first beta released, new PEPs, and more Python news.
The MarkItDown library lets you quickly turn PDFs, Office files, images, HTML, audio, and URLs into LLM-ready Markdown. In this tutorial, you’ll compare MarkItDown with Pandoc, run it from the command line, use it in Python code, and integrate conversions into AI-powered workflows.
Parsing messy support tickets? This post walks through real-world examples of Python techniques for extracting structured data from unstructured text. It compares the re module for classic pattern matching, pregex for cleaner and more readable regex construction, and pyparsing for more complex structures.
Django applications must secure sensitive resources by enforcing explicit authorization rather than relying solely on unguessable UUIDs, which expose inherent guessing vulnerabilities.
PSF white paper details archive vulnerabilities undermining Python package integrity and recommends enhancing security in ZIP and tar implementations and reproducible builds.
Fixtures make your life as a developer easier when using Pytest. Learn how to use them in different ways to organize your test suite more effectively, and get a glimpse on how Streamlit and Pydantic uses them.
Отчет по использовани Django фреймворка