Re: [Numpy-discussion] Any Numeric or numarray users on this list?

[eric <er...@en...>]

>
> Please help the developers by responding to a few questions.
>
>
>
> 1) Have you transitioned or started to transition to NumPy (i.e. 
> import numpy)?
We (Enthought) have started.
>
>
> 2) Will you transition within the next 6 months? (if you answered No 
> to #1)
We have a number of deployed applications that use Numeric heavily.   
Much of our code is now NumPy/Numeric compatible, but it is not well 
tested on NumPy.  That said, a recent large project will be delivered on 
NumPy this summer, and we are releasing an update to a legacy app using 
NumPy in the next month or so.  Pearu, Travis, and the Numeric->NumPy 
conversion scripts have been very helpful in this respect.

It has been (and remains) a big effort to get the ship turned in the 
direction of NumPy, but we're committed to it.  We are very much looking 
forward to using its new features. 
>
>
> 3) Please, explain your reason(s) for not making the switch. (if you 
> answered No to #2)
Just time right now.  We have noticed one major slow down in code, but 
it is a known issue (scalar math).  This was easily fixed with a little 
weave code in the time being (so now we're actually 2-3 times faster 
than the old Numeric code. :-)
>
> 4) Please provide any suggestions for improving NumPy.
No strong opinions here yet as I (sadly) haven't gotten to use it much 
yet.   The scalar math speed hit us once, so others will probably hit it 
as well. 

Thanks again for all the amazing work on this stuff.  It has already had 
an amazing impact on the community involvement and growth.  From my own 
experience, I understand why others are slow to convert.  Enthought has 
wanted to be an early adopter from the beginning, and we are still not 
there because of the effort involved in conversion and testing along 
with time pressures from other projects.  Still, there is a nice feed 
back loop that happens here.  As scipy/numpy continue to improve (more 
functionality, 64-bit stability, etc.) and more projects convert over, 
there are more reasons for people to update their code to the latest and 
greatest.  My bet is it'll take 2-3 more years for the transition to run 
its course.

see ya,
eric
>
>
>
>
>
> Thanks for your answers.
>
>
> NumPy Developers
>
>
>
>
> -------------------------------------------------------
> All the advantages of Linux Managed Hosting--Without the Cost and Risk!
> Fully trained technicians. The highest number of Red Hat 
> certifications in
> the hosting industry. Fanatical Support. Click to learn more
> http://sel.as-us.falkag.net/sel?cmd=lnk&kid=107521&bid=248729&dat=121642
> _______________________________________________
> Numpy-discussion mailing list
> Num...@li...
> https://lists.sourceforge.net/lists/listinfo/numpy-discussion
>