Hi all, Just by way of rational, we were hesitant to get into pandas and matplotlib before introducing lists. By giving the students some time to absorb slicing syntax on simple data, the hope was that they would run into less confusion when faced with a dataframe. As Greg says, we opted for the bottom-up progression to try and minimize confusion instead of diving right into the meat. Unfortunately we have not tried the other order, so can't do a side-by-side comparison. I am, however, very pleased with how the workshop progressed. Thanks to Greg, and everyone else involved, for putting together such an awesome resource. -Steve
On 10/18/16, 6:43 AM, "Greg Wilson" <[email protected]> wrote: >Hi everyone, > >Steve Bond and John Didion used the new "intro to Python for data >analysis using Gapminder data" lesson at NIH recently; as well as >filling in a bunch of exercises (thanks!), they rearranged the order of >the episodes - you can see their version at >https://biologyguy.github.io/python-novice-gapminder/. I've opened an >issue at >https://github.com/swcarpentry/python-novice-gapminder/issues/113 to >discuss whether their order makes more sense than the original: on the >one hand, it's a more logical bottom-up progression, but on the other, >it means that the data analysis stuff takes longer to get to. Please >add your comments to the issue: should we stick to the existing order, >or use the NIH's? > >Thanks to John and Steve, and thanks in advance for your feedback, > >Greg > > >-- >Dr Greg Wilson >Director of Instructor Training >Software Carpentry Foundation > >_______________________________________________ >Discuss mailing list >[email protected] >http://lists.software-carpentry.org/listinfo/discuss _______________________________________________ Discuss mailing list [email protected] http://lists.software-carpentry.org/listinfo/discuss
