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#Cloudflare#Python https://blog.cloudflare.com/python-workers Cloudflare Workers现已支持 Python - 原生支持，没有额外的构建步骤 - 支持绑定KV、R2和D1 - 支持流行的Python库包括 FastAPI和LangChain Twitter

Cloudflare Workers 现已支持 Python Cloudflare Workers Open beta 引入了对 Python 的支持。借助 Pyodide 和 WebAssembly ，现在可以使用 Python 来编写Cloudflare Workers 了。 与以往支持 JavaScript 不同，这次直接将 Python 实现集成到了开源的 workerd。这意味着所有绑定功能，包括 Vectorize、Workers AI、R2、持久对象等，从一开始就完全支持。不需要任何额外的构建步骤或外部工具链，Python Workers 支持导入 FastAPI、Langchain、Numpy 等流行 Python 包的子集。 Cloudflare 更新日志 消息来源： AppPie 🗒 标签: #CloudFlare#Python 📢 频道: @GodlyNews1 🤖 投稿: @GodlyNewsBot

🗂️#News Cloudflare Workers 现支持 Python Cloudflare Workers Open beta 引入了对 Python 的支持。借助 Pyodide 和 WebAssembly ，现在可以使用 Python 来编写Cloudflare Workers 了。 与以往支持 JavaScript 不同，这次直接将 Python 实现集成到了开源的 workerd。这意味着所有绑定功能，包括 Vectorize、Workers AI、R2、持久对象等，从一开始就完全支持。不需要任何额外的构建步骤或外部工具链，Python Workers 支持导入 FastAPI、Langchain、Numpy 等流行 Python 包的子集。 来源 🔖#Cloudflare#Python 📮 频道 @AppPie

PYTHON en menos de una semana - Con ejercicios de práctica | #Python

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#python DFlash is a lightweight block diffusion model that speeds up large language models like Qwen3.5 and Llama through speculative decoding, generating draft tokens in parallel for over 6x faster inference with no quality loss—up to 2.5x better than top methods. It supports easy integration with vLLM, SGLang, Transformers, or MLX via simple installs and commands, with ready models on Hugging Face. You benefit by running quicker AI generation on your hardware, boosting throughput to ~430 tokens/second and GPU use over 90% for efficient tasks like math or coding. https://github.com/z-lab/dflash

#python PersonaPlex is a real-time speech model for natural, low-latency conversations. Control its voice with audio prompts and role via simple text—like a friendly teacher, customer service rep, or casual chat partner—with natural male/female voices. Install easily, launch a web demo server, and test offline. You benefit by creating personalized AI interactions for apps, role-play, or fun talks, with quick setup and low GPU needs via CPU offload. https://github.com/NVIDIA/personaplex

#python AI Scientist-v2 is an autonomous AI system that generates research ideas, runs experiments, analyzes data, and writes full scientific papers using agentic tree search—no human templates needed. It produced the first entirely AI-written paper accepted via peer review at an ICLR workshop. You benefit by quickly exploring ML topics, automating discovery to save time and costs (about $20 per run on Linux with GPU), and scaling your research productivity for faster breakthroughs. Install via conda, set API keys, ideate with a Markdown file, then launch experiments. Run in a safe sandbox due to code risks. https://github.com/SakanaAI/AI-Scientist-v2

#python Dimensional OS (DimOS) is a simple Python-based operating system for robots like quadrupeds, humanoids, drones, and arms from Unitree, Xarm, and more—no ROS needed. Install easily with one command, run simulations or real hardware, and use natural language like "explore the room" for agent control with navigation, perception, spatial memory, and multi-agent systems. You benefit by quickly building and testing advanced robot apps locally, saving time and enabling seamless hardware integration without complex setups. https://github.com/dimensionalOS/dimos