Practical tips for computational research

(For non CS people)

Practical tips for organising research, and running computational experiments.

1. Parallelizing code and running long simulations on a remote server

• See materials from computational stats course at Duke
• Using tmux / screen commands to run long tasks on remote machines

2. Organising research stuff

• A Research to Engineering Workflow - Dustin Tran
• Simple tips for naming and organising files - Danielle Navarro
• Realising limitations of notebooks and re-factoring code properly into a codebase (see simple rules here for reproducible research with Jupyter notebooks)

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General research advice from others

• Charles Sutton holds a useful collection of research advice here.

• Wise outlook on research from Hamming here: