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 ...

Minimalist plotting for Python, inspired by Edward Tufte’s principles of data visualization. Maximising the data–ink ratio: remove non-essential lines, marks, and colours. Content-driven spines and ...

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 ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Particle Swarm Optimization (PSO) is a metaheuristic algorithm used for optimising nonlinear continuous functions. PSO is inspired by the social behaviour of animal groups, showcasing knowledge ...

Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and ...