Programming is the process of designing and building an executable computer program to accomplish a specific computing result. It involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms in a chosen programming language (coding). The field of programming spans many languages and technologies, forming the backbone of software development and information technology.
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures
R for Reproducible Scientific Analysis
Programming with R
🚀 R package future.callr: A Future API for Parallel Processing using 'callr'
repository of the 2-day course "First steps with R in Life Sciences" from SIB-training
Repositorio en el que se desarrollará el código de las prácticas de la asignatura "Fuentes de Datos Biomédicos y Web Semántica de la UBU"
ETH PhD Program course
GPU Programming with Python and CUDA.
Repo oficial de la comunidad de Hazla con Datos
Introduction to Modern Fortran
Introduction to R
The Reproducible Programming in R course, developed by the School of Biodiversity, One Health and Veterinary Medicine at the University of Glasgow.
Tools for spatial analysis in R and Python
R para Análisis Científicos Reproducibles
A Gentle Introduction to R, RStudio, and visualization
Learning R from Scratch
Created by Programmers