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", del Grado en Ingeniería de la Salud de la UBU.
ETH PhD Program course
GPU Programming with Python and CUDA.
Repo oficial de la comunidad de Hazla con Datos
🏀 R Programming ⚽ the go-to 🎳 language 🥎 data science 🪀statistical analysis 🏉 and data 🎮 visualization 🏈 Perfect data 🦁 analysts 🏬 researchers and 🐯 aspiring data 🦊 scientists statistical 🐲 modeling hypothesis 🐳 testing and 🐠 regression analysis 🚂 machine learning 🚞 in R with 🚢 caret random ✈ Forest 🚁 and xgboost☂
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.
R para Análisis Científicos Reproducibles
Tools for spatial analysis in R and Python
A Gentle Introduction to R, RStudio, and visualization
Created by Programmers