PythonHub

Panniantong / Agent-Reach Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. https://github.com/Panniantong/Agent-Reach

SRE for AI Agents: Error Budgets, Trust, and 90 Trials 90 trials, 1.7 phantom files per change. Python shadow-replay experiment with reproducible dataset. DOI: 10.5281/zenodo.20645992 https://clouatre.ca/posts/sre-ai-agents-production/

Python Hub Weekly Digest for 2026-06-21 https://pythonhub.dev/digest/2026-06-21/

Python Hub Weekly Digest for 2026-06-14 https://pythonhub.dev/digest/2026-06-14/

Webhooks Explained (+ Clean Implementation) The video demonstrates how to add webhooks to a FastAPI application and then evolve the design toward an event-driven architecture that decouples integrations from API endpoints. By using events to handle side effects, the approach makes applications more modular, extensible, and easier to maintain as new integrations and workflows are added. https://www.youtube.com/watch?v=yc-gp3PFHEI

Django 6.1 New Features! In this video, we'll look at new features coming in the Django 6.1 release, including fetch modes, mailers settings, and new database-level on-delete functionality for foreign key relationships. https://www.youtube.com/watch?v=ib9am_m2CnM

stable-worldmodel A platform for reproducible world model research and evaluation. https://github.com/galilai-group/stable-worldmodel

The Django Mixin I Add to Almost Every Model A practical look at TimestampUserMixin — a production-ready Django utility that adds audit fields and user tracking to any model with a single stamp() call. https://medium.com/@djangowiki/the-django-mixin-i-add-to-almost-every-model-from-django-99-utilities-050bf66ca760

Running Python code in a sandbox with MicroPython and WASM https://simonwillison.net/2026/Jun/6/micropython-in-a-sandbox/

remote-cmd A lightweight Python CLI + API for managing servers over SSH. Add hosts, run commands, transfer files, target groups by tags - no Ansible DSL required. https://github.com/Vae-Scrooge/remote-cmd

Symbolica 2.0: Programmable Symbols for Python and Rust https://symbolica.io/posts/symbolica_2_0_release/

EverOS Build, evaluate, and integrate long-term memory for self-evolving agents. https://github.com/EverMind-AI/EverOS

hiring-agent AI agent to evaluate and score resumes. https://github.com/interviewstreet/hiring-agent

Pattern Screamer: Subnet Discovery in Networks with Unknown Addressing This article introduces Pattern Screamer, a reconnaissance tool that uses multi-protocol TTL tracing to discover routers, subnets, and network topology in environments with unknown addressing schemes. By combining heuristic subnet sampling with ICMP, TCP, and UDP probes, it dramatically reduces scan volume while enabling attackers and administrators to map network infrastructure without ... https://ifritnoises.org/articles/pattern-screamer/

Web Scraping with Python & JavaScript – MERN Stack Full Course Learn to build robust web scrapers that can defeat modern anti-bot systems. In this full-stack course, you will transition from basic Python scripting to deploying a full MERN dashboard that scrapes and visualizes real-world data from Amazon, Booking.com, Indeed, and the TIOBE Index. https://www.youtube.com/watch?v=V1JmI5sUc5E

rustgate Small FastAPI backend that uses a Rust pyo3 extension for AI token-aware rate limiting backed by Redis. https://github.com/MordechaiHadad/rustgate

Agentic RL: Token-In, Token-Out Done Right Training agentic LLMs with reinforcement learning can silently break when tool-calling workflows re-tokenize model outputs between turns, causing gradients to be applied to sequences the model never actually generated. The article introduces the Token-In, Token-Out (TITO) approach, which avoids re-encoding decoded tokens and preserves training correctness while simplifying multi-turn RL ... https://qgallouedec-tito.hf.space/

Archaeologist A codebase intelligence toolkit that finds dead code, analyzes change impact, scores complexity, detects duplication, and generates interactive codebase graphs. https://github.com/prathik-arun/archaeologist

PyTorch Custom Operation Using PyTorch custom operations is common in PyTorch models. PyTorch custom operations can be custom classes and custom functions implemented in C++ and CUDA and used in both Python and C++ inference programs. This post shares how to implement PyTorch custom operations in C++ and CUDA, and how to use them in PyTorch models and AOTInductor compiled inference programs, using a simple ident... https://leimao.github.io/blog/PyTorch-Custom-Operation/

A User’s Journey with Plugin Playground: From First Idea to Installable JupyterLab Extension. Plugin Playground lets developers prototype, test, and iterate on JupyterLab extensions entirely from within JupyterLab, eliminating much of the setup and packaging overhead of traditional extension development. The article follows the journey from a simple idea to a publishable extension, showing how Plugin Playground accelerates experimentation and lowers the barrier to building custom... https://blog.jupyter.org/a-users-journey-with-plugin-playground-from-first-idea-to-installable-jupyterlab-extension-697021dd6fb9