[SciPy-user] Some mathematics/statisctics books

[Karl Young]

I completely agree with Johann that the best way to start is to just 
dive into the tutorials and examples but there are a few books around 
that might not be bad to have at your side when doing so. The reason I 
say this is that a particular book came to mind when I saw the original 
post. Though like anything else it has it's pluses and minuses it seems 
to me that Neil Gershenfeld's book "The Nature of Mathematical Modeling" 
would be pretty useful in this context in having a broad enough scope to 
discuss a lot of the types of problem that one would be working on re. 
using SciPy (including some bits on time series analysis).

>best is to start with the tutorials and examples distributed with scipy 
>or available on the website. Then you are most welcome to ask questions 
>about them in this forum, and only then might it make sense to look for 
>references, because scipy covers a huge class of problems and thus there 
>is no way one can possibly give you a reference for an overall picture 
>of its possibilities. The only way is to dive in, starting with some 
>specific little examples or problems you would like to solve.
>Hope that helps,
>Johann
>
>didier rano wrote:
>  
>
>>Hi all,
>> 
>>I am using Time Series moduled provided for scipy. I am very 
>>impressive by scipy in general. But I don't have enough backgrounds to 
>>understand all mathematics/statistics models inside scipy.
>> 
>>Could you help to find some books, articles, courses to improve my 
>>scientific backgrounds ? In particular, I need some knowledges to 
>>generate graphs to show pertinent information (trends...).
>> 
>>Thank you
>>Didier Rano
>>------------------------------------------------------------------------
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Karl Young
Center for Imaging of Neurodegenerative Diseases, UCSF          
VA Medical Center (114M)              Phone:  (415) 221-4810 x3114  lab        
4150 Clement Street                   FAX:    (415) 668-2864
San Francisco, CA 94121               Email:  karl young at ucsf edu