A technical article explaining how a small change in async Python code—using a semaphore to limit concurrency—reduced LLM request volume and costs by 90% without sacrificing performance.
An extremely lightweight universal grammar implementation with provable recursion, based on Chomsky's Minimalist Grammar theory, fitting in under 50kB with zero runtime dependencies. It includes a probabilistic language model extension and formal verification.
Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini models. The library simplifies the process of converting free-form text into structured data, offering features like controlled generation, text chunking, parallel processing, and integration with various LLMs.
A Raspberry Pi project that displays the city and country where it is currently 5:00 p.m., updating every 15 minutes. It uses accurate timezone data and is a fun, lightweight build with potential for educational and practical applications.
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
The author discusses 10 Python libraries that have reduced the need to build traditional UIs, focusing on backend power and efficiency. The article begins by stating a shift away from frontend development towards leveraging powerful Python libraries for backend tasks.
| Library | Description |
|-------------|-------------------------------------------------|
| Textual | Terminal UIs that look like native apps |
| Remi | Web apps from Python scripts (no HTML needed) |
| NiceGUI | Reactive GUIs with Python and Vue |
| Flet | Flutter-like UIs in pure Python |
| Eel | Web frontends + Python backends |
| Dear PyGui | Fast, GPU-accelerated GUI engine |
| pywebview | Native webview windows powered by Python |
| Toga | Native UIs for desktop and mobile |
| JustPy | Interactive web apps in pure Python |
| Gooey | Turns CLI apps into GUIs instantly |
| Library | Description |
|-------------|-------------------------------------------------|
| Textual | Terminal UIs that look like native apps |
| Remi | Web apps from Python scripts (no HTML needed) |
| NiceGUI | Reactive GUIs with Python and Vue |
| Flet | Flutter-like UIs in pure Python |
| Eel | Web frontends + Python backends |
| Dear PyGui | Fast, GPU-accelerated GUI engine |
| pywebview | Native webview windows powered by Python |
| Toga | Native UIs for desktop and mobile |
| JustPy | Interactive web apps in pure Python |
| Gooey | Turns CLI apps into GUIs instantly |
This GitHub repository contains a collection of example files demonstrating various use cases and configurations for the llamafiles tools, including examples:
* **System Administration:** Scripts and configurations for Ubuntu, Raspberry Pi 5, and macOS.
* **LLM Interaction:** Examples of prompts and interactions with LLMs like Mixtral and Dolphin.
* **Text Processing:** Scripts for summarizing text, extracting information, and formatting output.
* **Development Tools:** Examples related to Git, Emacs, and other development tools.
* **Hardware Monitoring:** Scripts for monitoring GPU and NVMe drive status.
* **System Administration:** Scripts and configurations for Ubuntu, Raspberry Pi 5, and macOS.
* **LLM Interaction:** Examples of prompts and interactions with LLMs like Mixtral and Dolphin.
* **Text Processing:** Scripts for summarizing text, extracting information, and formatting output.
* **Development Tools:** Examples related to Git, Emacs, and other development tools.
* **Hardware Monitoring:** Scripts for monitoring GPU and NVMe drive status.
An article introducing metap, a new meta-programming layer for Python, detailing its features like program augmentation, code generation, and structural introspection. It also discusses the benefits of metap over DSLs and provides a tutorial with examples.
This article explores gamma spectroscopy using a Radiacode 103G detector and Python, detailing data collection, analysis, and experiments with various objects to identify radioactive elements.
This demo showcases how the Arch can be used to build an HR agent to manage workforce-related inquiries, workforce planning, and communication via Slack. It intelligently routes incoming prompts to the correct targets, providing concise and useful responses tailored for HR and workforce decision-making.
