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

This library provides a collection of math and statistics classes and cmdlets for PowerShell. It is built on top of Accord.NET. This is a work in progress but already usable for many use cases.

A high-performance Model Context Protocol (MCP) server for math-ing whilst vibing with LLMs. Built with Polars, Pandas, NumPy, SciPy, and SymPy for optimal calculation speed and comprehensive ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...