On Mar 7, 9:47 pm, William Stein wrote:
> With a function as *trivial* as your f above, the overhead of
> @parallel will kill your benchmark. As I explained, for *every*
> single call, an entire copy of Sage is forked off. This is no problem
> if evaluating f takes at least a second (say), but i
On Mar 7, 8:45 pm, William Stein wrote:
> On Sun, Mar 7, 2010 at 5:06 PM, Gokhan Sever wrote:
> > Parallel Python is a separate module. IPython is the interactive
> > Python interpreter that comes with Sage. However to use the IPython
> > parallel features you need to in
On Mar 7, 3:14 pm, calcp...@aol.com wrote:
> pool sounds interesting!
>
> ipython is separate from parallel python?
>
> What about the @parallel decorator, is that parallel python?
>
> Its confusing in SAGE sometimes what needs importing and what doesn't.
>
> TIA,
> A. Jorge Garciahttp://calcpage
On Mar 7, 12:20 pm, jpc wrote:
> I've tried with
>
> print pool.map(f, range(10))
>
> instead of
>
> pool.map(f, range(10))
>
> calling python file.py
>
> In the notebook, the output must be caughted and printed for user, I
> think.
>
> Pedro
I was trying with pool.map(f, range(10)); #
On Mar 7, 10:13 am, calcp...@aol.com wrote:
> from multiprocessing import Pool
> ...
> pool = Pool(processes=2) # start 2 worker processes
> <<
>
> Wow, cool, is this part of parallel python? Does this only work on a
> multi-core PC or can this be made to work over a cluster as well
On Mar 6, 11:23 pm, Gokhan Sever wrote:
> Hello,
>
> I am executing this example in Sage Notebook v4.3.3
>
> from timeit import default_timer as clock
> from multiprocessing import Pool
>
> def f(x):
> return x**3 + x**2 + x
>
> if __name__ == '__
Hello,
I am executing this example in Sage Notebook v4.3.3
from timeit import default_timer as clock
from multiprocessing import Pool
def f(x):
return x**3 + x**2 + x
if __name__ == '__main__':
t1 = clock()
pool = Pool(processes=2)# start 2 worker processes
pool.map(
Hello,
What is the proper way to number equations in a Sage worksheet using
the little text editor?
I used \qquad directives:
$$f^0(x) =N x_f^{-1} G(\nu) s^{\nu} exp(-(1+\nu)^s) \qquad
\left(1\right)$$
$$ s = x / x_f \qquad \left(2\right)$$
$$ G(\nu) = \frac{(1+\nu)^{(1+\nu)}}{\Gamma(1+\nu)} \
On Jan 28, 8:00 pm, Ondrej Certik wrote:
> Hi,
>
> are there some examples how to use R from Sage?
>
> I tried to search here:
>
> http://www.sagemath.org/help.html
>
> http://www.sagemath.org/doc/reference/
>
> I also tried to search sage-devel, for "R" and "R statistics" and "R
> statistical",
On Jan 27, 5:52 pm, Minh Nguyen wrote:
> Hi Gokhan,
>
> On Thu, Jan 28, 2010 at 10:08 AM, Gokhan Sever wrote:
>
>
>
> > Is there a way to specify in SAGE to use its own version of
> > matplotlibrc. And why this is not the default option?
>
> Ticket #6235
&g
Hello,
I am testing at a local build of 4.3.2.alpha0 at my Fedora 12. Sage
seems like using my local matplotlibrc file while I am trying to plot
something using matplotlib, and resulting with import error for my
defauly Qt4Agg backend.
Is there a way to specify in SAGE to use its own version of
m
On Jan 25, 11:27 am, Gokhan Sever wrote:
> Hello,
>
> When I activate the "typeset" option on sagenb.org notebook server and
> get a result for this function:
>
> # Complete gamma function
>
> var('xi, t')
> assume(xi>0)
> integrate(t**(xi-1)
Hello,
When I activate the "typeset" option on sagenb.org notebook server and
get a result for this function:
# Complete gamma function
var('xi, t')
assume(xi>0)
integrate(t**(xi-1)*exp(-t), (t,0,oo))
\newcommand{\Bold}[1]{\mathbf{#1}}\gamma\left(\xi\right)
It gives me a nice gamma(xi) view. H
On Jan 25, 3:59 am, Harald Schilly wrote:
> On Jan 25, 12:39 am, gsever wrote:
>
> > It was my pleasure Harald.
>
> ;)
>
> And guess who just made it on that
> page:http://sagemath.org/library-stories.html
Thanks for making me famous :) (Put in my blog as well --
http://pycloud.blogspot.com/
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