I hope I'm not too late to the party. ;-)
The O'Reilly book "Python for Data Analysis" gives really a comprehensive tour of what one can do with pandas (and an intro to NumPy). I've enjoyed reading it a lot, but make sure to get the second edition if you are buying now. The Data Carpentry "Python Ecology" lesson is also a good start. By the time I worked through (more than a year ago) it was lacking example solutions and at times I wasn't sure how to solve certain problems. I believe those have been solved by now. There are also several tutorials in the Pandas Documentation: http://pandas.pydata.org/pandas-docs/stable/tutorials.html Cheers, Oliver On Tue, Feb 6, 2018 at 1:59 PM, Boushey, Geoffrey <[email protected] > wrote: > The O'Reilly book "Python for Data Analysis" has a chapter specifically on > pandas (and uses pandas in other chapters). > > > +1 for the python ecology lesson (data carpentry), I'd probably start > there. The O'Reilly book is a good follow up. > > > - Geoff > ------------------------------ > *From:* Discuss <[email protected]> on behalf > of Tracy Teal <[email protected]> > *Sent:* Tuesday, February 6, 2018 8:39:08 AM > *To:* Lagesen, Karin > *Cc:* Software Carpentry Discussion > *Subject:* Re: [Discuss] looking for good pandas introduction > > 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 > <https://protect2.fireeye.com/url?k=971d8298e95ce956.971da585-def1a0c95753bf1b&u=http://lists.software-carpentry.org/listinfo/discuss> > > > > _______________________________________________ > Discuss mailing list > [email protected] > http://lists.software-carpentry.org/listinfo/discuss >
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