1. Research software
   • Be aware there is an eScience guide.
   • Skim through the Turing Way. More specifically:
     • Guide for Reproducible Research
     • Guide for Project Design
   • These are reference guides. No need to read through them
2. Programming paradigms
   • Programming across paradigms. Talk and slides. Up to minute 23, really great intro. The rest is optional
   • Programming Paradigms – Paradigm Examples for Beginners Not very good, according to Lourens.
   • Introduction to programming paradigms course. Not great either
3. Data structures and algorithms
   • Data structure, Algorithms, basics of sorting & searching, freeCodeCamp.org Course. See first comment and use it to browse to the interesting parts
   • Data Structures and Algorithms, by John Bullinaria, School of Computer Science University of Birmingham Lecture Notes. Good lecture notes/reference material for those who prefer a text-based approach.
   • Data Structures and Algorithms in Python? by freeCodeCamp.org online course. 12 hours? No way