R vs Python: this phrase has over 4.25 billion results on google. Perhaps you've read a few of those results. But how can you make sense of all those posts? Should you learn the R or Python programming languages if you want to improve the reproduciblity of your data analyses? In this episode of Code Club, Pat will break down the different considerations, caveats, and questions to ask before telling you what you should choose.

You can find my blog post for this episode at https://www.riffomonas.org/code_club/....

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If you're interested in taking an upcoming 3 day R workshop be sure to check out our schedule at https://riffomonas.org/workshops/


You can also find complete tutorials for learning R with the tidyverse using...
Microbial ecology data: https://www.riffomonas.org/minimalR/
General data: https://www.riffomonas.org/generalR/

0:00 Getting started is the most important thing
2:29 Compiled vs. interpreted programming languages
4:31 What interpreted languages should we consider?
12:12 Python or R, which should you learn?
17:45 What about those blog posts you read?
19:57 The value of learning the first language