Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

Their exits may strain Microsoft’s push to expand AI capacity as energy constraints and infrastructure bottlenecks increasingly dictate the pace of cloud growth. Microsoft has lost two senior data ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

NorthWestern Energy and Black Hills say they are combining forces to meet the utility sector’s “unprecedented growth.” Two Western utilities announced a merger Tuesday that they said would help meet ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Graphics Cards Behold the future of PC gaming: Upscaled 77p potatovision—and it's not quite as awful as you imagine Graphics Cards Best graphics cards in 2026: I've tested pretty much every AMD and ...

Why it matters: Researchers at Oxford University published a paper in Nature last week describing how they used quantum teleportation to transfer data between two quantum computers placed about two ...

CNN is tracking mass shootings in the United States using data from the Gun Violence Archive, a nonprofit group formed in 2013 to track gun-related violence. Both CNN and GVA define a “mass shooting” ...

When it comes to working with data, whether it's a basic list of entries or a large dataset, Excel is usually one of the go-to tools for most people, and for good reasons. First off, it allows you to ...