This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for ...

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. This article shows data engineers how to use PyIceberg, a lightweight and powerful Python library ...

Windows may get all the attention, but when you want to get real work done, you turn to the applications that run on it. And if you use spreadsheets, that generally means Excel. Excel is, of course, ...

Most people are familiar with data in the form of a spreadsheet, with labeled columns of different data types such as name, address, age, and so on. Databases work the same way, with each table laid ...

Mainframe computers are often seen as ancient machines—practically dinosaurs. But mainframes, which are purpose-built to process enormous amounts of data, are still extremely relevant today. If ...

the generated CSV/excel is: When the first row is processed, the library guesses the columns layout. In case of arrays, a column (or more columns if the array contains json objects) is created for ...

In a previous article, we looked at connecting various kinds of Arduino hardware to your Mac. Here's how to get started programming on them to create your own projects. In order to program your ...

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot. Built-in reactivity is one of ...

Most people view Microsoft’s Excel as a simple “spreadsheet program” that’s rapidly being eclipsed by free web-based apps that run on any cheap laptop. Well think again. Modern-day Excel is an ...