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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
browser-harness
Self-healing browser harness that enables LLMs to complete any task.
https://github.com/browser-use/browser-harness
Backlit Keyboard API for Python
https://github.com/itsmeadarsh2008/backlit-kbd
HY-World-2.0
A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds.
https://github.com/Tencent-Hunyuan/HY-World-2.0
Decoupling Your Business Logic from the Django ORM
As Django apps grow, stuffing business logic into views, models, and managers creates tangled code, slow tests, and ORM-driven performance issues like overfetching and N+1 queries. The solution proposed is moving domain logic into typed plain-Python classes while using the ORM only for persistence, making systems cleaner, faster, easier to test, and easier to evolve.
https://buttondown.com/carlton/archive/decoupling-your-business-logic-from-the-django-orm/
Powering Up Django Development With Claude Code
LLM coding tools can accelerate Django development, but unchecked outputs often create technical debt through poor architecture, weak tests, and overly complex code. The talk focuses on using Claude Code effectively with strong prompts, guardrails, and skepticism so AI becomes a productive assistant rather than a cleanup burden.
https://www.youtube.com/watch?v=MJMex1FNjXI
Django to Browser Push - Without WebSockets, Channels, or Redis
The post shows how to push real-time browser updates in Django without WebSockets, Channels, or Redis by using a simpler HTTP/SSE-based approach. Its main point is that you can get instant UI updates with much less infrastructure and complexity while still keeping the setup practical for existing Django apps.
https://usman.it/django-realtime-updates-without-websockets/
Python Hub Weekly Digest for 2026-04-26
https://pythonhub.dev/digest/2026-04-26/
CadQuery is an open-source Python library for building 3D CAD models
https://cadquery.github.io/
ppt-master
ppt-master is an AI system that converts PDFs, DOCX, URLs, or Markdown into natively editable PowerPoint files with real shapes, charts, and text boxes instead of raster images.
https://github.com/hugohe3/ppt-master
Rethinking the State Pattern in Python
The video demonstrates a transition from high-boilerplate, inheritance-heavy State Pattern classes to a streamlined, data-driven state machine in Python. By leveraging enums, generics, and decorators, the author creates a reusable engine that makes state transitions explicit and significantly reduces the cognitive load of managing complex object behaviors.
https://www.youtube.com/watch?v=OeirQdzYdnc
Vera
A programming language designed for LLMs to write.
https://github.com/aallan/vera
A Python Interpreter Written in Python
https://aosabook.org/en/500L/a-python-interpreter-written-in-python.html
SakanaAI / AI-Scientist-v2
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
https://github.com/SakanaAI/AI-Scientist-v2
Plain – The full-stack Python framework designed for humans and agents
https://github.com/dropseed/plain
Awesome PyPI Security Best Practices
A curated and practical list of security best practices for using Python packages from PyPI.
https://github.com/lirantal/pypi-security-best-practices
Django: fixing a memory “leak” from Python 3.14’s incremental garbage collection
Adam Johnson explains how Python 3.14's new incremental garbage collection caused excessive memory growth during Django migrations, leading to out-of-memory errors on resource-constrained servers. He shares a practical workaround by explicitly triggering garbage collection after each migration step, and notes the issue helped support the planned revert to the prior GC behavior in Python ...
https://adamj.eu/tech/2026/04/20/django-python-3.14-incremental-gc/
Faceoff
Terminal tool to watch hockey games.
https://github.com/vgreg/faceoff
Neuro AI
Python suite for neuroscience research across all modalities.
https://github.com/facebookresearch/neuroai
OriginTracer
This is a low level observability tool with a very flexible extension model. Users write probes and rules and the tool constructs a live causal graph.
https://github.com/Humbulani1234/origintracer
ComposioHQ / awesome-codex-skills
A curated list of practical Codex skills for automating workflows across the Codex CLI and API.
https://github.com/ComposioHQ/awesome-codex-skills
Bernstein
Deterministic orchestrator for 18 CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.
https://github.com/chernistry/bernstein
htdt / godogen
Claude Code & Codex skills that build complete Godot projects from a game description
https://github.com/htdt/godogen
Bindu
Bindu: Turn any AI agent into a living microservice - interoperable, observable, composable.
https://github.com/GetBindu/Bindu
lsdefine / GenericAgent
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
https://github.com/lsdefine/GenericAgent
plastic-labs / honcho
Memory library for building stateful agents
https://github.com/plastic-labs/honcho
Python Type Checker Comparison: Speed and Memory Usage
A benchmark comparison of speed and memory usage across Python type checkers including Pyrefly, Ty, Pyright, and Mypy.
https://pyrefly.org/blog/speed-and-memory-comparison/
Vibe-Trading
One Command to Empower Your Agent with Comprehensive Trading Capabilities.
https://github.com/HKUDS/Vibe-Trading
Debunking Django Myths
Sarah Boyce, a Django Fellow, debunks common myths about the 20-year-old framework, showing that it is far from dead with new features merged every week and constant updates for modern Python versions. She addresses the framework's "marketing problem," highlighting that while often perceived as slow or outdated, Django powers major enterprise platforms and remains a leading choice for bo...
https://www.youtube.com/watch?v=yyX0QoUzoE4
Docglow
Modern documentation site generator for dbt Core - lineage explorer, health scoring, full-text search.
https://github.com/docglow/docglow
Tracking Celery Task Failures in Python
Let's explore how Celery task failures behave and how you can keep track of everything that goes wrong.
https://blog.appsignal.com/2026/04/09/tracking-celery-task-failures-in-python.html