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Andrea Ciardi, 26/09/2016 12:05 PM


LPP dev guide

Kick Starter for efficient scientific coding

You will find here material to help you get started with your coding. Depending on whether you mostly do data analysis or numerical modeling, you'll need slightly different tools and methods. the advice we give you will help to be efficient, rigorous and to write code than you'll be able to use, maintain and share in the long run. Now remember, If you're a PhD or a post-doc, following these advice will not only help you improving the quality and reproducibility of your science, but also will make all your coding efforts reusable by people in the lab once you're gone, and more importantly will give you the basic knowledge you need to legitimately claim for a data science / computing science position in the private sector.

Now, what are you doing?

Code review and analysis

Code review

Code analysis

Performance

Videos

Optimizations

Setting up a clean Python environment

C++ development

Code Design and Architecture

Writing code

Documentation

  • [[hyb-par: Documentationtools| Documentation Tools]]

Updated by Andrea Ciardi almost 6 years ago · 14 revisions

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