El dv 08 de 09 del 2006 a les 21:15 +0100, en/na Smirnov, Andrei va
escriure:
> Hi Francesc
> 
> Thanks for you help to resolve this confusion.
> 
> Does your answer imply that even if I would have numpy installed and somehow 
> enabled my problem
> with string col indexes will not go away?

Not quite. You will need numpy *at the core* of PyTables, and this will
imply a complete migration from numarray to numpy inside it. If you can
achieve this, then you are done, but this is not a trivial task
(although feasible indeed).

> 
> Regards
> Andrei
> 
> PS: have you seen this site: http://wilmott.com/categories.cfm?catid=10. 
> People here
> need something to deal with huge datasets. Some of them familiar with python.
> If you would figure out how to cure speed of string indexes buildup (it is 
> widely used
> because almost all traded securities are identified by string Ids, not ints) 
> then you
> are going to be rich very soon :)

Oops, and I wasn't aware of that ;-) Seriously, PyTables for sure has a
use in many niches, and financial services is one of them, but it is far
to be a perfect tool for everything. In particular, it is not meant for
keeping the integrity of data (it is responsability of user),
guaranteing the safety of transactions or maintaining very complex
references. So, as I've said many times, it is actually best to use it
to *complement* other tools, rather than being an all-in-one solution.

Cheers,

-- 
>0,0<   Francesc Altet     http://www.carabos.com/
V   V   Cárabos Coop. V.   Enjoy Data
 "-"



-------------------------------------------------------------------------
Using Tomcat but need to do more? Need to support web services, security?
Get stuff done quickly with pre-integrated technology to make your job easier
Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo
http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
_______________________________________________
Pytables-users mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/pytables-users

Reply via email to