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thecochenille / gist:cdfb4053de08bd91ecc9
Created May 9, 2014 07:25 — forked from brantfaircloth/gist:895282

##GTR lset applyto=() nst=6 # GTR lset applyto=() nst=6 rates=propinv # GTR + I lset applyto=() nst=6 rates=gamma # GTR + gamma lset applyto=() nst=6 rates=invgamma # GTR + I + gamma

##SYM

lset applyto=() nst=6                           # SYM

prset applyto=() statefreqpr=fixed(equal)

@thecochenille
thecochenille / gist:926452cd5d45f9f2821c
Created May 10, 2014 02:48 — forked from brantfaircloth/gist:895282

##GTR lset applyto=() nst=6 # GTR lset applyto=() nst=6 rates=propinv # GTR + I lset applyto=() nst=6 rates=gamma # GTR + gamma lset applyto=() nst=6 rates=invgamma # GTR + I + gamma

##SYM

lset applyto=() nst=6                           # SYM

prset applyto=() statefreqpr=fixed(equal)

@thecochenille
thecochenille / .block
Created February 10, 2023 19:13 — forked from stedn/.block
Timeline Streamgraph from Google Sheets Data
license:cc-by-sa-4.0
height:600
scrolling:yes
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thecochenille / ds-project-organization.md
Created June 18, 2024 18:59 — forked from ericmjl/ds-project-organization.md
How to organize your Python data science project

UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli

How to organize your Python data science project

Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.

Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.

Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!