How-To Geek on MSN

Why 27 lines of Python is all you need for an inspiring Linux Mint desktop

Why settle for a static Linux Mint desktop when you can jazz it up with this Conky daily quote generator desklet?
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
ZDNet

The right way to run an internet speed test (and how I use the results for better Wi-Fi)

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
IEEE

Design of a Topological Waveguide Using Two Types of Rhombic Unit Cell Structures Mutually Shifted by Half-Period

Abstract: Two types of rhombic unit cell structures mutually shifted by half-period are proposed for the design of topological waveguides. The frequency dispersion characteristics are calculated with ...
IEEE

A Python Unit Test Generation Method Based on Fine-Tuned Language Models and Coverage

Abstract: Unit testing is fundamental for software reliability, yet manual test construction is inefficient and often results in limited coverage. Existing automated tools struggle with complex ...
InfoWorld

Visual Studio adds GitHub Copilot unit testing for C#

GitHub Copilot testing for .NET in Visual Studio 2026 v18.3 can generate tests for the xUnit, NUnit, and MSTest test frameworks. Microsoft has made GitHub Copilot testing for .NET, a new capability in ...
world-nuclear-news

Cold testing of third Sanmen unit completed

Cold functional tests have been completed at unit 3 of the Sanmen nuclear power plant in China's Zhejiang province, China National Nuclear Corporation has announced. (Image: CNNC) Such tests are ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...