[Python Edinburgh] Python for Data Analysis?
m.mineter at ed.ac.uk
Mon Dec 22 12:58:56 CET 2014
To comment on the R or Python question....
As in Rob's case, the choice can be less to do with fundamental
preference for R or Python and more to do with what libraries are
already available for the kind of work to be done; and with what other
libraries I need to work.
A bridge does exist with RPy2 - I've only used that with simple R
calculations being called from Python but success depended on a)
having R installed with the necessary shared libraries being built, b)
the correct version of readline. On one machine it worked easily; on
another I decided just to translate small R functions to python
instead of fighting the installations to get RPy2 to go.
Quoting Douglas Houston <douglasrhouston at googlemail.com> on Mon, 22
Dec 2014 10:16:35 +0000:
> Oh no, not come across Pandas before, I'll add it to the list (sigh)...
> You're right about learning R being a struggle by the way.
> On 22 December 2014 at 08:07, Rob Schneider <rmschne at rmschneider.com> wrote:
>> Have this book (electronic version) and used it a lot. It's really about
>> Pandas (http://pandas.pydata.org) which is to me very interesting.
>> There are lots of web articles you can find of R vs. Pandas vs. Python and
>> all that.
>> For me, bottom line, is that I can plug in Pandas to the large Python app
>> I work with and use Pandas/Matplotlib to do a small bit of number crunching
>> with it ... rather than struggle to learn and integrate R. As I see what
>> Pandas can do I'll only use more of it as time moves on.
>> On 22 Dec 2014, at 08:01, Douglas Houston <douglasrhouston at googlemail.com>
>> > Sorry, forgot the Coursera details:
>> > http://i.imgur.com/joL2LdF.jpg
>> > On 22 December 2014 at 08:00, Douglas Houston <
>> douglasrhouston at googlemail.com> wrote:
>> > Does anyone have this book?
>> > I'm thinking about my planned future use of Python and what I want to do
>> with it. I'm looking to get into data science and using it to train
>> machine learning algorithms. The following shows the Coursera courses I've
>> signed up to (10 in total) to learn how to do this.
>> > Should I use Python (in which case a book like this looks useful), or
>> should I use R?
>> > My R and Python skills are probably on a par right now, but I'm unlikely
>> to have the time to get properly fluent in both at the same time any time
>> soon, so I have to make a decision.
>> > The Data Science Coursera course is focussed solely on R, so perhaps I
>> should just roll with that?
>> > Any one have any advice?
>> > _______________________________________________
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Dr Mike Mineter
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