[Pandas-dev] Free interactive tutorials for Pandas

[Phillip Cloud]

Perfect timing Tobias. I've convinced my coworkers that Python with pandas
is the way to go for data analysis (they use MATLAB currently), but of
course there are a TON of things that pandas does and I can't hope to teach
it all to them. I would say that the most important thing to understand
when first learning pandas is its indexing rules and capabilities. For me,
this was one of the harder things to learn and one of the most useful, once
I was able to grok it. Understanding the semantics of loc and iloc is
essential to being productive with pandas (and these aren't in The Book).
Anyway, I think this is a great idea.


--
Best,
Phillip Cloud


On Sun, Mar 2, 2014 at 10:55 AM, Tobias Knuth <mail at tobiasknuth.de> wrote:

> Hello everyone,
>
> a friend of mine and I use Python a lot for work and for fun. We also love
> Wes McKinney's book about Pandas, which proved as a great help learning it.
>
> Unfortunately, there are no interactive tutorials like those that are
> available at Code School or codecademy for other languages and libraries.
> Even learnpython.org is "just" about Python itself, not about Pandas.
>
> So we decided to do it. We got the technology to implement interactive
> open source tutorials for Pandas as a web app.
>
> *I'm writing this mail to ask whether there is something similar in the
> making and whether you'd like to tell your thoughts about it. Is there
> anything that you would like to see? Any feature requests or possible
> caveats?*
>
> We'll use an interactive Python interpreter, simulate some functions and
> plot everything in the browser using D3. At least, that's the plan. It'll
> be a long-term project as this seems quite complex.
>
> Looking forward to hearing your thoughts :-)
>
> Best wishes,
> Tobias Knuth
>
> _______________________________________________
> Pandas-dev mailing list
> Pandas-dev at python.org
> https://mail.python.org/mailman/listinfo/pandas-dev
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/pandas-dev/attachments/20140409/8d59693f/attachment.html>