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News & links about Python programming.
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Syd

Air-gapped cybersecurity assistant for security professionals. 100% offline AI-powered analysis tool for Nmap, Volatility, BloodHound, Metasploit, YARA, and more. Built for environments where cloud AI isn't available.

https://gitlab.com/sydsec1/Syd
The Lazy Loading Pattern: How to Make Python Programs Feel Instant

This video provides a deep dive into the Lazy Loading pattern in Python, demonstrating how it immediately improves application responsiveness by delaying initialization until required. It teaches practical techniques for implementation, including using generators, caching, and background preloading to optimize performance, memory, and code design.

https://www.youtube.com/watch?v=ENnDxEOAKKc
Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks

The paper introduces a benchmark called SUSVIBES to test whether vibe-coded outputs are safe to deploy in real software projects. It finds that while many AI-generated solutions work functionally, the vast majority are insecure, raising serious concerns for production use.

https://arxiv.org/pdf/2512.03262
Django: implement HTTP basic authentication

Previously, we covered bearer authentication within HTTP’s general authentication framework. In this post, we’ll implement basic authentication, where the client provides a username and password.

https://adamj.eu/tech/2025/12/08/django-basic-authentication/
Quick Docker Tutorial to Run a Python Script

This tutorial introduces Docker basics for running Python scripts in containers, prioritizing hands-on practice over theory. It covers Docker concepts, CLI commands, image management, bind mounts for scripts, and Dockerfile creation with dependencies like requirements.txt.?

https://en.andros.dev/blog/5d4edfbf/quick-docker-tutorial-to-run-a-python-script/
FastPython

This is the official GitHub repository for FastPython. FastPython is a project dedicated to improving Python’s performance through practical, drop-in code patterns and optimization techniques. The goa

https://github.com/tomtyiu/fastPython
context-async-sqlalchemy

This library greatly simplifies integrating async sqlalchemy into any ASGI application. It handles engine and session lifecycle management. It provides a bunch of useful utilities to make it easy and quick for developers to write applications, but it also doesn't limit them.

https://github.com/krylosov-aa/context-async-sqlalchemy