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

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Learn essential Nmap commands for network scanning, port discovery, and OS detection. Complete guide with examples and a ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms. CUDA ...

When installing Python libraries, there are two general approaches. One will install packages into the local user library directory, using the pip command, while the other involves creating virtual ...

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to formally ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

As of June 1, 2026, xformers 0.0.35, which supports Pytorch 2.12.0+cu132, has been released, so I have updated the description to match the latest version. I have been writing articles focusing on ...