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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
PySpark handles large datasets but its syntax has a steep learning curve. PySpark SQL solves this by enabling familiar SQL-style DataFrame operations. This walkthrough teaches you everything from loading data to window functions and pandas UDFs.
asyncio changes are often overlooked, in the latest 3.14 release there are 3 new asyncio features and changes.
There’s a proposal, PEP 810 – Explicit lazy imports for Python to natively support lazy importing starting in Python 3.15. However, it has not been accepted yet, and even if it is accepted, 3.15 is a year away. What do we do now?
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