These are my go-to libraries for Python data crunching.

No VM, no setup hassle, no leftover clutter afterward.

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...

Azure Linux 4.0 is Microsoft's own Fedora-derived Linux distro for Azure cloud workloads. Here is how it compares to Ubuntu, ...

This project combines a high-speed YOLOE vision engine running on a laptop (50+ FPS) with an ESP32 that wirelessly controls servos, sensors, and peripherals in real time. The result is a powerful dual ...

ALVR is one of the tools to stream VR games from a Windows PC to their Apple Vision Pro over Wi-Fi. Here's how to get the ...

I gave Claude access to my Home Assistant. It helped me audit, debug, and improve my smart home better than I ever could have.

Of all the reasons Python is a hit with developers, one of the biggest is its broad and ever-expanding selection of third-party packages. Convenient toolkits for everything from ingesting and ...

Note: uvx pywho is not recommended — it runs inside uv's ephemeral sandbox, so the output reflects that temporary environment instead of your actual project. Always install pywho into the environment ...

Machine learning and AI libraries for Python are big. Really big. Nobody wants to download and install multiple copies of PyTorch or CUDA if they can reasonably avoid it. venvstacks allows you to ...

Moving your Python packages from one virtual environment to another is super easy. This guide will show you exactly how to migrate Python packages between virtual environments in Linux. Think of a ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...