How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
InfoWorld

Get started with Angular: Introducing the modern reactive workflow

A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, ...
How-To Geek on MSN

Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
InfoQ

Microsoft Releases Azure Functions Support for Model Context Protocol Servers

Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
CNX Software

Raspberry Pi AI HAT+ 2 review – A 40 TOPS AI accelerator tested with Computer Vision, LLM, and VLM workloads

Raspberry Pi sent me a sample of their AI HAT+ 2 generative AI accelerator based on Hailo-10H for review. The 40 TOPS AI ...
GitHub

nhairs/python-json-logger

Python JSON Logger enables you produce JSON logs when using Python's logging package. JSON logs are machine readable allowing for much easier parsing and ingestion into log aggregation tools.
GitHub

ryp: R inside Python

running R code inside Python quickly transferring huge datasets between Python (NumPy/pandas/polars) and R without writing to disk interactively working in both languages at the same time ...