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 build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

In the Power BI/Fabric community everyone is excited about the recent release of Semantic Link: the ability to analyse Power BI data easily using Python in Fabric notebooks. Sandeep Pawar has an ...

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 ...