Data scientists are explorers. They use Jupyter Notebooks, one of the most popular environments for data science analysis, to begin work toward creative solutions to big problems. But once those ...

These days, the industry would have you believe that data and analytics is all being done in the service of AI. And, given that, there's a lot of orientation toward data scientists' seemingly favorite ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

A computer code co-developed by a scientist from Lawrence Berkeley National Laboratory (Berkeley Lab) and embraced by the global science community over two decades has been hailed by Nature Magazine ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...

With the maturation of the open-source, cross-platform .NET Core initiative, Microsoft has been upping its data science analysis tooling lately, previewing .NET Core with Jupyter Notebooks ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...

Everything you need to know about ransomware: how it started, why it's booming, how to protect against it, and what to do if your PC is infected. Read now Jupyter Notebook is an open source web ...