Page Comparison

Python

• Programming with Python - Software Carpentry
• Research Software Engineering with Python - Alan Turing Institute
• Introduction to Notebooks with Colaboratory - Google
• Automated Testing - CodeRefinery
• See Matt Williams' and Chrys Woods' course materials for a range of Python courses

R

• Programming with R - Software Carpentry
• R for Reproducible Scientific Analysis - Software Carpentry

Subject-specific training

• Ecology - Data Carpentry
• Genomics - Data Carpentry
• Social Sciences - Data Carpentry
• Geospatial Data - Data Carpentry

Unix/Linux

• The Unix Shell - Software Carpentry

Version Control

• Version Control with Git - Software Carpentry
• Introduction to Version Control with Git - CodeRefinery
• Using Git to Code, Collaborate and Share - Imperial College London
• Collaborative Distributed Version Control with Git - CodeRefinery

Software Engineering (General)

• CodeCademy - learn to program, online
• Essential Software Engineering for Research - Imperial College London
• Introduction to Jupyter and JupyterLab - CodeRefinery

Both Matt Williams and Chrys Woods provide good training materials on a range of research computing topics:

• Courses - Matt Williams
• Courses - Chrys Woods

MATLAB

• MATLAB Online Training provided by University of YorkSelf-Paced Training

Machine Learning

• Machine Learning Crash Course - Google

GPUs

• NVIDIA Accelerated Computing training
• NVIDIA Deep Learning Institute

ARCHER2

ARCHER2 provide training materials on a wide range of topics, some of which have been highlighted in other sections below. For a full inventory of training materials, see:

• ARCHER2 Online Training
• ARCHER2 Virtual Tutorials and Webinars

High Performance Computing

• Introduction to High Performance Computing - ARCHER
  • Video Lectures
  • Course Materials
• Message-Passing Programming with MPI - ARCHER
  • Video Lectures
  • Course Materials
• RCE, an HPC Podcast - RCE

Challenges and interactive apps

• codewars - programming challenges in many languages
• Kaggle - data science challenges from a wide range of contexts
• Project Euler - maths challenges that require efficient programming to solve
• Regex Crossword - crosswords solved with regular expressions (try Regex 101 if you get stuck!)
• Regex Golf - interactive regular expression challenges (try Regex 101 if you get stuck!)