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Human-curated Python news, projects, articles & tools. https://pythonhub.dev/
cupy / cupy
NumPy & SciPy for GPU
https://github.com/cupy/cupy
Serving a Frontend with FastAPI: A Practical Guide
A practical guide to FastAPI's new app.frontend(), SPA fallback, API route priority, and a complete mini dashboard example.
https://modernpython.io/serving-a-frontend-with-fastapi-a-practical-guide/
Python Hub Weekly Digest for 2026-07-12
https://pythonhub.dev/digest/2026-07-12/
Boffin claims Microsoft's "quantum leap" is invalid due to "basic Python errors"
https://www.theregister.com/research/2026/06/24/boffin-claims-microsofts-supposed-quantum-leap-does-not-compute-due-to-basic-python-errors/5260489
Backon – Python retry (zero deps, circuit breaker, async native)
https://github.com/Llucs/backon
A small matrix task runner for Python projects using Astral uv.
uv-matrix runs the same project tasks across Python versions, dependency variants, extras and arbitrary task variants defined in pyproject.toml.
https://github.com/atsuoishimoto/uv-matrix
Python 3.14 compiled to metal – no interpreter
https://github.com/can1357/pon
OpenKB
Open LLM Knowledge Base.
https://github.com/VectifyAI/OpenKB
Building AI Agents You Can Trust & Evaluate | Agentic RAG Live Series
Hands-on live series building Agentic RAG systems with retrieval, tool calling, evaluations, traces, and production engineering practices.
140 min marathon
https://youtube.com/live/_44x_yL7Q-s?feature=share
Build real agentic apps using CUGA: two dozen working examples on a lightweight harness
Building an agent is mostly plumbing: tools, state, guardrails, scaling from one agent to many. CUGA (pip install cuga), short for Configurable Generalist Agent, the Agent Harness for the Enterprise from IBM handles that, so you write just a tool list and a prompt. We built two-dozen single-file apps to prove it. Read one end to end here, then see how the same agent runs sovereign and go...
https://huggingface.co/blog/ibm-research/cuga-apps
gzipt
A compression based language model.
https://github.com/nathan-barry/gzipt
Ruff + Ty vs Ruff + Pyrefly — which type checking stack makes more sense in 2026?
https://www.reddit.com/r/Python/comments/1uf2eoz/ruff_ty_vs_ruff_pyrefly_which_type_checking_stack/
Use AI to not use AI (as much)
Rather than using AI to solve the same problem repeatedly, the author suggests using it to build tools that solve the problem for you. A practical example demonstrates how an AI-generated Python script transformed a one-time GitHub usage analysis into a reusable workflow.
https://www.raymondcamden.com/2026/06/22/use-ai-to-not-use-ai-as-much
Data-Juicer
Data processing for and with foundation models!
https://github.com/datajuicer/data-juicer
Graphsignal
Graphsignal is a production-scale inference profiling platform that helps engineers optimize AI performance across models, engines, GPUs, and other accelerators. I
https://github.com/graphsignal/graphsignal-profiler
How to publish to PyPI using GitHub Actions securely
The post gives three practical steps for publishing Python packages to PyPI more securely from GitHub Actions: run zizmor, use Trusted Publishing, and require manual approval through GitHub environments. It focuses on reducing credential risk by removing long-lived PyPI tokens, pinning actions, limiting workflow permissions, disabling persisted checkout credentials, and adding a human ap...
https://snarky.ca/how-to-publish-to-pypi-using-github-actions-securely/
planning-with-files
Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
https://github.com/OthmanAdi/planning-with-files
Django security releases issued: 6.0.7 and 5.2.16
Django 6.0.7 and 5.2.16 fix three low-severity security issues involving cached Set-Cookie responses, GDALRaster heap buffer over-read, and DomainNameValidator accepting newlines. The Django team recommends upgrading supported versions as soon as possible, with patches applied to main, 6.1 beta, 6.0, and 5.2 branches.
https://www.djangoproject.com/weblog/2026/jul/07/security-releases/
rommapp / romm
A beautiful, powerful, self-hosted rom manager and player.
https://github.com/rommapp/romm
microsoft / skills-for-fabric
A collection of skills and MCP systems to enable users of CLI, VSCode, Claude to operate over Microsoft Fabric
https://github.com/microsoft/skills-for-fabric
Scripting good practices in Python
SummaryYou can make your scripts just a little nicer with some tweaks:Use inline dependencies if ...
https://www.bitecode.dev/p/scripting-good-practices-in-python
Have your agent record video demos of its work with shot-scraper video
shot-scraper video is a new command introduced in today's shot-scraper 1.10 release which ...
https://simonwillison.net/2026/Jun/30/shot-scraper-video/#atom-tag
Python Hub Weekly Digest for 2026-07-05
https://pythonhub.dev/digest/2026-07-05/
Unlimited-OCR
Unlimited-OCR is Baidu’s open-source OCR model for one-shot long-horizon document parsing, designed to read multi-page documents in a single pass instead of chunking them.
https://github.com/baidu/Unlimited-OCR
Build and Deploy a Remote MCP Server to GKE in 30 Minutes
Learn to build and deploy a secure remote MCP server on Google Kubernetes Engine (GKE) in 30 minutes. Streamline your AgenticAI workflows with standard protocols.
https://cloud.google.com/blog/topics/developers-practitioners/build-and-deploy-a-remote-mcp-server-to-gke-in-30-minutes/
Moebius
Lightweight Image Inpainting Framework with 10B-Level Performance.
https://github.com/hustvl/Moebius
TimeCapsuleSMB
Hacking the Apple Time Capsule to run modern Samba.
https://github.com/jamesyc/TimeCapsuleSMB
Recall
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory - entirely offline.
https://github.com/raiyanyahya/recall
TIRx: An Open Compiler Stack for Evolving Frontier ML Kernels
TIRx introduces an open-source, hardware-native DSL and compiler stack for writing high-performance ML kernels that can keep pace with rapidly evolving AI hardware. Built on Apache TVM, it combines low-level control, compiler-assisted abstractions, and agent-friendly tooling to support expert developers, automated kernel generation, and future accelerator architectures.
https://tvm.apache.org/2026/06/22/tirx
Nimic – Pure Python as a systems language with AOT compilation
https://github.com/dima-quant/nimic