Just want to point to some excellent material that was recently presented at
the course Advanced Scientific Programming in
Pythonhttps://python.g-node.org/wiki/at St Andrews. Day 3 was titled
The Quest for Speed (see
https://python.g-node.org/wiki/schedule) and might interest you as well.
I think the remaining delta between the integer and float boxcar smoothing is
that the integer version (test 21) still uses median_filter(), while the float
one (test 22) is using uniform_filter(), which is a boxcar.
Other than that and the slow roll() implementation in numpy, things look
Ah. Thanks for catching that!
Otherwise though I think everything looks pretty good.
Thanks all,
Keith
On Thu, Sep 29, 2011 at 12:18 PM, Zachary Pincus zachary.pin...@yale.eduwrote:
I think the remaining delta between the integer and float boxcar
smoothing is that the integer version (test
Hi all,
Myself and several colleagues have recently started work on a Python library
for solar physics http://www.sunpy.org/, in order to provide an
alternative to the current mainstay for solar
physicshttp://www.lmsal.com/solarsoft/,
which is written in IDL.
One of the first steps we have taken
hi Keith,
I do not think that your primary concern should be with this kind of
speed test at this stage :
1/ rest assured that this sort of tests have been performed in other
contexts, and you can always do some hard work on high level computing
languages like IDL and python to improve
On Mon, Sep 26, 2011 at 3:19 PM, Keith Hughitt keith.hugh...@gmail.com wrote:
Hi all,
Myself and several colleagues have recently started work on a Python library
for solar physics, in order to provide an alternative to the current
mainstay for solar physics, which is written in IDL.
One of
On Mon, Sep 26, 2011 at 8:19 AM, Keith Hughitt keith.hugh...@gmail.comwrote:
Hi all,
Myself and several colleagues have recently started work on a Python
library for solar physics http://www.sunpy.org/, in order to provide an
alternative to the current mainstay for solar
Hello Keith,
While I also echo Johann's points about the arbitrariness and non-utility of
benchmarking I'll briefly comment just on just a few tests to help out with
getting things into idiomatic python/numpy:
Tests 1 and 2 are fairly pointless (empty for loop and empty procedure) that
won't
On Mon, Sep 26, 2011 at 8:24 AM, Zachary Pincus zachary.pin...@yale.edu wrote:
Test 3:
#Test 3 - Add 20 scalar ints
nrep = 200 * scale_factor
for i in range(nrep):
a = i + 1
well, python looping is slow... one doesn't do such loops in idiomatic code
if the
One minor thing is you should use xrange rather than range. Although it will
probably only make a difference for the empty loop ;)
Otherwise, from what I can see, tests where numpy is really much worse are:
- 1, 2, 3, 15, 18: Not numpy but Python related: for loops are not efficient
- 6, 10:
10 matches
Mail list logo
