This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for ...

Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...

In the evolving data landscape of 2025, data analysts must be equipped with tools that allow them to extract, transform, analyze, and communicate insights effectively. Four essential tools that form ...

Tissue functions arise from the coordinated activities of cells. Interactions at multiple scales—from the level of molecules to communication between cells, to signaling across tissues—are all ...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...

R has long been hailed as a statistical computing and graphics powerhouse. Developed with a focus on statistical analysis and data visualization, R provides an extensive array of packages and ...

TFCat (Time-Frequency Catalogue) is a data interchange format based on JSON (JavaScript Object Notation), which has been initially designed for exchanging low frequency radio events and features. It ...

Given two integer arrays nums1 and nums2, return an array of their intersection. Each element in the result must be unique and you may return the result in any order. Input: nums1 = [4,9,5] nums2 = [9 ...

Genes encoding ribosomal RNA (rDNA) are organized into a repetitive array in eukaryotic genomes. The copy number of these genes often varies and is responsive to genetics and environment. Here, we ...

More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ library for generating ...