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This article explores three tools for DataFrame portability in Python: Ibis, Narwhals, and Fugue. Learn when to use each to write code that runs across multiple backends.
What you need to know before putting a Django project that uses SQLite in production. This is part 5 of a series that includes information on write-ahead logging, locking errors, performance, and more.
Roman built Smello, an open-source tool that captures outgoing HTTP requests from your Python code and displays them in a local web dashboard. Learn why he did it and how he uses it to debug API access.
What’s a friendly class? One that accepts sensible arguments, has a nice string representation, and supports equality checks. Read on to learn how to write them.
Django silently converts None values in non-nullable string fields into empty strings, but a simple CheckConstraint can enforce truly required values and prevent empty data from slipping into your database.
Caching an async function is trickier than expected, this article walks through why that is and how to use Asyncio primitives to solve the problem.
This article explores three Python tools for PDF table extraction: Docling, Marker, and LlamaParse. Learn which handles merged cells and multi-level headers best.
Python loses every public benchmark by 21-875x. Cemrehan took the exact problems people use to dunk on Python and climbed every rung of the optimization ladder: from CPython version upgrades to Rust. Real numbers, real code, real effort costs.
Fix Django’s case-sensitive unique constraint pitfalls by cleaning duplicates, adding Lower() constraints, and safely migrating with PostgreSQL CONCURRENTLY to avoid downtime.
Learn how to manage shared code across projects using Git submodules. Prevent version drift, maintain reproducible workflows, and support team collaboration with practical examples.