These are my go-to libraries for Python data crunching.

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

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 ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

This crate implements functions for generating plots and drawings in Rust. It uses Python/Matplotlib but is designed specifically for Rust developers, combining the convenience of a Rust-native API ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...

Power BI is a popular business intelligence tool that allows you to create interactive dashboards and reports from various data sources. Power BI also supports Python, a versatile and powerful ...

Social media platforms generate an immense amount of data every second – from user engagement metrics to trending topics. Social media analytics involves collecting, processing, and interpreting this ...

At the moment, Typst supports main vector and raster image formats. Namely, images in PNG, JPEG, GIF, or SVG format can be easily emplaced in a document with Typst. However, it is not possible to keep ...