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Fun with uv and PEP 723
The article demonstrates how combining the new Python package manager uv with PEP 723 allows you to write self-contained Python scripts that declare and manage their own dependencies using inline metadata, making one-off scripting much easier and more portable. It showcases practical examples, such as running scripts with uv run and creating executable scripts that fetch YouTube transcri...
The logging module is from 2002. Here's how to use it in 2025
Django: Introducing inline-snapshot-django
The article introduces inline-snapshot-django, a new Django package for snapshot testing SQL queries, allowing developers to automatically capture and compare query outputs in their tests. It aims to provide a more detailed and developer-friendly alternative to Django’s assertNumQueries(), making it easier to debug and maintain test suites for database interactions.
OctopusDash
OctopusDash is a modern, open-source Django admin dashboard designed with a beautiful UI, powerful filtering, and granular permission control — crafted for developers and teams seeking more flexibility, clarity, and extensibility beyond the default Django admin.
Switching pip to uv in a Dockerized Flask / Django App
Switching from pip to uv in Dockerized Flask or Django apps results in about a 10x faster dependency installation and introduces robust, lockfile-based dependency management, improving both speed and reliability. The process involves replacing requirements.txt with pyproject.toml, adjusting Dockerfiles to use uv commands, and configuring environment variables for efficient, reproducible ...
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dnsimg - storing images in txt records
The author experiments with storing images in DNS TXT records by converting image data to hex, splitting it into 2048-character chunks, and creating a protocol-like method for retrieval and reconstruction. The process demonstrates both the feasibility and practical limitations of this approach, including DNS record size constraints and the need for custom scripts to upload, fetch, and re...
Uv and Ray: Pain-Free Python Dependencies in Clusters
What ever happened to "Zope"?!
Selling Software made in Python?
MCP Explained: How to Expose Your API to AI Models
The video explains how to use the Model Context Protocol (MCP) to connect your APIs and external tools with AI language models like ChatGPT or Claude, enabling them to interact with real-world data and services. It covers two main architectural patterns for MCP integration, provides practical Python code examples, and offers tips for building scalable, maintainable MCP servers for AI app...
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