"It's an El Niño year, so it's supposed to be a warm winter," "Agricultural prices are likely to rise"—even when hearing such news, many people may not know how to apply it to stock investment. In ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

qmplot is a handy, user-friendly tool and Python library that allows for quick and flexible of publication-ready manhattan and Q-Q plots directly from PLINK association results files or any data frame ...