Python Weekly (Issue 725 December 11 2025)

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News

The Call for Proposals (CFP) for DjangoCon Europe 2026 is officially open! Submission deadline: Sunday, February 8, 2026 (end of day).


Articles, Tutorials and Talks

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.

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.

We gave Claude the ability to fine-tune language models using a new tool called Hugging Face Skills. Not just write training scripts, but to actually submit jobs to cloud GPUs, monitor progress, and push finished models to the Hugging Face Hub. This tutorial shows you how it works and how to use it yourself.

Deprecation warnings are ineffective for Python library API removals, as demonstrated by the urllib3 incident where major dependents failed to upgrade. The best practice for library maintainers to ensure developers update, as suggested by James Bennett (via Simon Willison's Weblog), is to run test suites with flags like -Wonce::DeprecationWarning.

A Comparative Technical Analysis: NVIDIA CUDA, AMD ROCm, Google TPU (XLA), and Apple Silicon (MPS).

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.

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.?

This video traces the evolution of neural machine translation from RNNs and LSTMs to attention mechanisms, Transformers, and multilingual models like GNMT. It includes PyTorch implementations of 7 landmark papers, mathematical explanations, and tools like Transformer Playground for hands-on learning.


Interesting Projects, Tools, and Libraries

cuTile is a programming model for writing parallel kernels for NVIDIA GPUs.

A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API.

Kubernetes client for Python + CRD & API models generator. Fast, fully typed, async.

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.

Fast async web crawling & scraping framework for Python.

Light Video Generation Inference Framework.

Python AI Slop Detector - Find over-engineering, hallucinations, and dead code in Python codebases.

The standard language for machine-readable code comments.

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.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

A Python ORM with types.

age-compatible post-quantum encryption for Python.


New Releases

The new 0.7 release includes a number of new features, bug fixes, and enhancements. This release also brings significant improvements to the user experience and new customization options for JupyterLite deployments.


Upcoming Events and Webinars

There will be a hands on session, Down the rabbit hole: Using Python for text searches and indexing.

There will be following talks

  • NPL solutions and their optimizations in a local environment: OnPremise is the New Promise – Small, Smart, LocalAI in the age of LLMs

  • A blend of theory on classical networks and more recent ones together with more recent ones: ImageSegmentation through DeepLearning Models


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