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PicoFlow – a tiny DSL-style Python library for LLM agent workflows
From Python 3.3 to today: ending 15 years of subprocess polling
The post explains how Python’s long-standing busy-loop approach to waiting on child processes has finally been replaced with true event-driven waiting using OS primitives like pidfd_open() with poll() on Linux and kqueue() on BSD/macOS. This change eliminates constant polling, reduces CPU wakeups, and has now been adopted both in psutil and upstream into Python’s standard subprocess modu...
I created a game engine for Django?
The author built a multiplayer Snake game in the browser using only Python and Django LiveView, with no custom JavaScript, by keeping game state on the server and broadcasting rendered HTML over WebSockets.
Let's Build Pipeline Parallelism from Scratch
The tutorial walks through building pipeline parallelism from the ground up, explaining how to split large AI models and training workloads across multiple GPUs to improve training efficiency. It breaks down concepts with step-by-step examples so developers can understand how data and compute are partitioned and coordinated in a distributed training system.
Oban, the job processing framework from Elixir, has come to Python
7 Things You Didn’t Know Dataclasses Could Do
The video walks through seven lesser-known features of Python’s dataclasses that make code safer, clearer, and easier to maintain, beyond basic use. Each tip shows how dataclasses can reduce boilerplate and improve common patterns in everyday Python code.
rendercv / rendercv
CV/resume generator for academics and engineers, YAML to PDF
alirezarezvani / claude-skills
A Collection of Skills for Claude Code and Claude AI for real-world Usage. Including Claude Code Subagents, Claude Code Commnads
pocket-tts
A TTS that fits in your CPU (and pocket)
Under the Hood: Universal Commerce Protocol (UCP)
Google has introduced the Universal Commerce Protocol (UCP), an open-source standard designed to enable seamless "agentic commerce" across AI platforms like Gemini and Search. The protocol eliminates integration bottlenecks by providing a unified abstraction layer for discovery and transactions, allowing AI agents to handle the entire shopping journey from product search to secure payment.
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Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.