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.

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Abstract: In today’s digital era driven by data, the amount and complexity of the collected data, such as multiview, non-Euclidean, and multirelational, are growing exponentially or even faster.

As bills to address the energy impact of data centers proliferate and President Donald Trump encourages lawmakers to act, analysts are pointing to a legal minefield. Analysts say lawmakers — who are ...

Top picks for Python readers on InfoWorld How to manage Python projects with Poetry Elegantly manage Python virtual environments and project requirements. Poetry gives Python all-in-one management ...

Taylor Rioux is a writer and critic based in Minnesota. He has been writing professionally about games since 2024, after starting the website JetsonPlaysGames, which covers both video games and ...

A new technology advance has led to the introduction of new actuators that combine motor, drive, gearing, and feedback into a single CANopen device that relieves much of the burden of traditional ...

Renewables and storage could reliably power data centers, but success requires active grids, coordinated planning, and the right mix of technologies. Hitachi Energy CTO, Gerhard Salge, tells pv ...

Dubbed "Reprompt," the attack used a URL parameter to steal user data. A single click was enough to trigger the entire attack chain. Attackers could pull sensitive Copilot data, even after the window ...