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 ...
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 ...
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 ...
Since the “resolution revolution” (Kühlbrandt, 2014), single particle electron cryomicroscopy (cryo-EM) has established itself as a prime tool for determining the three dimensional structure of ...
In Excel spreadsheets, complex formulas are difficult to enter without making mistakes. Microsoft Excel’s LAMBDA() function can make such errors easier to find. LAMBDA functions are new to Microsoft ...
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