Hi, Some references from my notes.
Basic intro, Pandas in a nutshell http://kanoki.org/2017/07/16/pandas-in-a-nutshell/ Jupyter notebooks based on Jake VanderPlas' 'Python Data Science Handbook' https://github.com/donnemartin/data-science-ipython-notebooks/tree/master/pandas And, a blog post about optimizing speed when working with Pandas https://engineering.upside.com/a-beginners-guide-to-optimizing-pandas-code-for-speed-c09ef2c6a4d6?gi=1b982088b671 Bests, Inigo On Tue, 06 Feb 2018 17:26:30 +0000 Matt Davis <[email protected]> wrote: > These are a couple of great resources I've seen: > > Greg Reda's three part series: > http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/ > Tom Augspurger's Modern Pandas series: > https://tomaugspurger.github.io/modern-1-intro.html (includes the > data so you can follow along) > > This page from Mode Analytics has a bunch of links: > https://community.modeanalytics.com/python/libraries/pandas/ > > Hope that helps! > > Best, > Matt > > On Tue, Feb 6, 2018 at 8:41 AM Tracy Teal <[email protected]> wrote: > > > Hi Karin, > > > > The Data Carpentry Python Ecology lesson teaches pandas, so could > > be a good starting place. > > http://www.datacarpentry.org/python-ecology-lesson/ > > > > Also, Jake VanderPlas' 'Python Data Science Handbook' has a good > > chapter on pandas. > > https://jakevdp.github.io/PythonDataScienceHandbook/ > > > > It would be great to hear if there were other resources people > > recommended. They would also be good recommendations for learners > > for after workshops. There's an issue going to collect ideas. > > https://github.com/carpentries/conversations/issues/18 > > > > Best, > > -Tracy > > > > On Tue, Feb 6, 2018 at 7:29 AM, Lagesen, Karin > > <[email protected]> wrote: > > > >> Hi! > >> > >> I'm trying to teach myself pandas at the moment, and I'm looking > >> for good (hopefully sort of software carpentry style) tutorials on > >> it. Many of the ones I've seen so far are too dense to really > >> understand what's going on under the hood, and looking stuff up on > >> the pandas site is not too beginner friendly at times. > >> > >> Karin > >> _______________________________________________ > >> Discuss mailing list > >> [email protected] > >> http://lists.software-carpentry.org/listinfo/discuss > > > > > > _______________________________________________ > > Discuss mailing list > > [email protected] > > http://lists.software-carpentry.org/listinfo/discuss _______________________________________________ Discuss mailing list [email protected] http://lists.software-carpentry.org/listinfo/discuss
