practical tips for computational research (for non CS people)

02 Feb 2016

#tips  #research 

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

1. 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 here)

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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: