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

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

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

Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place. You can start Jupyter Notebook ...

A program built around Python, OpenCV, and PySide2 for video stabilization using gyroscope data. The project consists of three core parts: A utility for the generation of lens undistortion preset, a ...

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...

In this project, we present a technique employing ZeroMQ (an Open Source, Asynchronous Messaging Library and Concurrency Framework) for building a basic – but easily extensible – high performance ...