[Tutor] Translating R Code to Python-- reading in csv files, writing out to csv files

[Massimo Di Stefano]

Maybe this doc.

http://mathesaurus.sourceforge.net/matlab-python-xref.pdf

can help ?

i found it useful.

Massimo.


Il giorno May 20, 2012, alle ore 2:42 AM, Martin A. Brown ha scritto:

> 
> Benjamin,
> 
> : Thanks Martin-- this is really great.  My major question now is 
> : that I need to transition to Python for a project and I need to 
> : learn how to think in Python instead of in R.  The two strategies 
> : I have used so far are: a) going through the description and 
> : exercises in  http://www.openbookproject.net/thinkcs/python/english2e/
> : and b) trying to convert my R code into Python.
> 
> I haven't seen that before, but, of course, there ar scads of 
> resources out there for anybody learning these days.
> 
> : On a high-level, do you have any other suggestions for how I 
> : could go about becoming more proficient in Python?
> 
> Well, here is my list.  Others probably have some suggestions, too:
> 
>  * solve a specific and immediate real problem in Python, but solve 
>    the problem as generally as possible; apply
> 
>  * lurk here (and on other lists) and watch how experienced Python 
>    practitioners help others face a problem in Python; absorb
> 
>  * join domain-specific Python groups that discuss libraries,
>    tools or techniques that apply in your area of interest; inquire
> 
>  * learn Python's common datatypes well, you will encounter them 
>    often: str, int, float, list, dict, set; study
> 
>  * learn Pythonic programming idioms, and, importantly, learn 
>    why they are considered Pythonic (that will give you insight 
>    into thinking in Python); gain relevant experience
> 
>  * browse the standard library occasionally to learn a new module
>    http://docs.python.org/py-modindex.html
> 
>  * learn how to make modules; build your code into modules (if 
>    appropriate and where possible)
> 
>  * read a book (lots of options here); I'm a 'learn by example' 
>    sort so I liked the O'Reilly _Python Cookbook_ [0]
> 
>  * read PEP 8 http://www.python.org/dev/peps/pep-0008/
> 
> Good luck and enjoy Python,
> 
> -Martin
> 
> [0] http://shop.oreilly.com/product/9780596007973.do
> 
> -- 
> Martin A. Brown
> http://linux-ip.net/
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