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UBC Master of Data Science
@UBCMDS
, 7 tweets, 12 min read Read on Twitter
Your MDS Curator this week, @TiffanyTimbers, here.

This morning I would like to share with you some of the most influential resources that have shaped my #DataScience workflow:

1. @swcarpentry 's Version Control with Git lesson: swcarpentry.github.io/git-novice/
@TiffanyTimbers @swcarpentry 2. @JennyBryan's Happy Git with R book: happygitwithr.com
@TiffanyTimbers @swcarpentry @JennyBryan 3. "Good enough practices in scientific computing" by @gvwilson @JennyBryan Karen Cranston Justin Kitzes @lexnederbragt & @tracykteal

journals.plos.org/ploscompbiol/a…
@TiffanyTimbers @swcarpentry @JennyBryan @gvwilson @lexnederbragt @tracykteal 4. .@hspter's Opinionated analysis development paper:

peerj.com/preprints/3210/
@TiffanyTimbers @swcarpentry @JennyBryan @gvwilson @lexnederbragt @tracykteal @hspter 5. @swcarpentry's Make lesson: swcarpentry.github.io/make-novice/
@TiffanyTimbers @swcarpentry @JennyBryan @gvwilson @lexnederbragt @tracykteal @hspter 6. The #DataScience community curated @Docker stacks. The Rocker project for R (github.com/rocker-org/roc…) & the jupyter docker stacks (github.com/jupyter/docker…).
@TiffanyTimbers @swcarpentry @JennyBryan @gvwilson @lexnederbragt @tracykteal @hspter @Docker Now that I have shared mine, what are your favourite and most influential resources that have shaped your #DataScience workflows?

#rstats #python #reproducibility #versioncontrol
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