On Mon, Mar 10, 2014 at 10:45 PM, Ralf Gommers ralf.gomm...@gmail.comwrote:
Hi GSoC students,
The PSF just made their application template for this year available:
https://wiki.python.org/moin/SummerOfCode/ApplicationTemplate2014. There
are a few things in there that are required (for one,
I have been working on a general function caching mechanism, and in doing
so I stumbled upon the following quirck:
@cached
def foo(a,b):
b[0] = 1
return a[0]
a = np.zeros(1)
b = a[:]
print foo(a, b)#computes and returns 1
print foo(a, b)#gets 1
Hello All!
I am pleased to announce that *SciPy 2014*, the thirteenth annual *Scientific
Computing with Python conference*, will be held this July 6th-12th in
Austin, Texas. SciPy is a community dedicated to the advancement of
scientific computing through open source Python software for
Seems to be related to the masked values:
print r2010[:3,:3]
[[-- -- --]
[-- -- --]
[-- -- --]]
print abs(r2010)[:3,:3]
[[-- -- --]
[-- -- --]
[-- -- --]]
print r2010[ r2010[:3,:3] 0 ]
[-- -- -- -- -- -- -- -- --]
print r2010[ abs(r2010)[:3,:3] 0]
[]
Nicolas
On 13 Mar 2014, at
Hi All,
In a note on a PR, Ralf has suggested the removal of doc/numpybook. I
believe most of the content is now part of the numpy documentation, and the
book itself is outdated in some parts.
Thoughts?
Chuck
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On Thu, Mar 13, 2014 at 5:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
In a note on a PR, Ralf has suggested the removal of doc/numpybook. I
believe most of the content is now part of the numpy documentation, and the
book itself is outdated in some parts.
Sounds
On Thu, Mar 13, 2014 at 11:08 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Mar 13, 2014 at 5:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
In a note on a PR, Ralf has suggested the removal of doc/numpybook. I
believe most of the content is now part of the
On Thu, Mar 13, 2014 at 5:18 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Mar 13, 2014 at 11:08 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Mar 13, 2014 at 5:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
In a note on a PR, Ralf has suggested
Hi,
Thanks a lot for your advice, Chuck.
Following your advice, I have modified my draft of proposal. (attachment)
I think it still needs more comments so that I can make it better.
And I found that maybe I can also make some functions related to linalg
(like dot, svd or something else) faster
On Thu, Mar 13, 2014 at 1:35 PM, Leo Mao lmao20...@gmail.com wrote:
And I found that maybe I can also make some functions related to linalg
(like dot, svd or something else) faster by integrating a proper library
into numpy.
I think everyone who wants fast numpy linalg already connects to
On Mar 13, 2014, at 9:39 AM, Nicolas Rougier nicolas.roug...@inria.fr wrote:
Seems to be related to the masked values:
Good hint -- a masked array keeps the junk values in the main array.
What abs are you using -- it may not be mask-aware. ( you want a
numpy abs anyway)
Also -- I'm not sure
Thank you very much Nicolas and Chris,
The hint was helpful and from that I treid below
steps ( a crude way I would say) and getting same result now
I have been using abs available by default and it is the same with
numpy.absolute( i checked).
nr=
Sorry,
The below solution I thoght working was not working but was just
giving array size.
On Fri, 14/3/14, Sudheer Joseph sudheer.jos...@yahoo.com wrote:
Subject: Re: [Numpy-discussion] python array
To: Discussion of Numerical Python
The difference appears to be that the boolean selection pulls out all data
values = 0.5 whether or not they are masked, and then carries over the
appropriate masks to the new array. So r2010 and bt contain identical
unmasked values but different numbers of masked values. Because the
initial fill
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