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Comment #12 on issue 3997 by skirpic...@gmail.com: limit(x**-pi, x, 0,
dir='-')
http://code.google.com/p/sympy/issues/detail?id=3997
No. I think it's ok.
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Comment #12 on issue 3512 by smi...@gmail.com: solve is slow for a simple
set of equations.
http://code.google.com/p/sympy/issues/detail?id=3512
I made a PR with this change at https://github.com/sympy/sympy/pull/2755
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Comment #24 on issue 2015 by smi...@gmail.com: Hangs attempting to solve a
system of linear equations
http://code.google.com/p/sympy/issues/detail?id=2015
I made a PR with this change at https://github.com/sympy/sympy/pull/2755
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I was going through the ideas page for Sympy projects and this idea
interested me a lot. Reason being I have past experience with android and I
would like to take up this task of implementing sympy on Android. As
notified, I wanted to discuss this first before starting off to make sure
if
I went through the ideas page and I found some of the features interesting
and implementable. I wanted to work on this. Could you give me an idea on
how to start?
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You should look into Kivy: http://kivy.org
It's an opensource Python library for rapid development of apps. Since
Python is not officially supported on Android, this will help a lot. You
can pretty much use it to run Python code on Android and iOS platforms.
On Friday, January 10, 2014
On Sunday, November 17, 2013 8:04:49 PM UTC+1, David Li wrote:
There's also the more speculative ideas of using Emscripten (example:
http://repl.it/M4whttp://www.google.com/url?q=http%3A%2F%2Frepl.it%2FM4wsa=Dsntz=1usg=AFQjCNEx9nyndaK2q6euf6S3HplhrWmtSQ)
or Portable Native Client to
I just replied on another thread about the possibility of running CPython
inside a web browser (currently Firefox only, but soon also on Google
Chrome).
https://groups.google.com/forum/#!topic/sympy/7HXq4YbzvMo
Running sympy inside a webbrowser could make it extremely portable, not
only to
Today I have been looking at the sympy tensor package. I have attached a
script in which I am trying to end of defining the Einstein tensor: R_{a b}
- 1/2 *g_{a b} * R. But the script does not succeed on the last step of
evaluating the above expression and hence fails to agree to create the
There are a couple of typos in the post by me: I mean to say I am trying
to end UP defining the Einstein tensor... and on the expression g should
be with covariant indices: g(-a,-b). Sorry.
On Friday, January 10, 2014 4:56:03 PM UTC-5, Comer wrote:
Today I have been looking at the sympy
On Friday, January 10, 2014 4:56:03 PM UTC-5, Comer wrote:
Today I have been looking at the sympy tensor package. I have attached a
script in which I am trying to end of defining the Einstein tensor: R_{a b}
- 1/2 *g_{a b} * R. But the script does not succeed on the last step of
On Friday, January 10, 2014 10:56:03 PM UTC+1, Comer wrote:
Today I have been looking at the sympy tensor package. I have attached a
script in which I am trying to end of defining the Einstein tensor: R_{a b}
- 1/2 *g_{a b} * R. But the script does not succeed on the last step of
On Friday, January 10, 2014 11:26:38 PM UTC+1, F. B. wrote:
This is a bug, d0 and -d0 have not been recognized as dummy indices and
are not contracted. I think I'll have a look tomorrow.
I correct myself, this is not a bug. When you perform *R = Ric(d0,-d0)* ,
you are substituting the
There should be some canonical way to remove floating point
numbers that are smaller than their given precision (i.e., almost
equal to 0). evalf(chop=True) does this, but there should be some way
to do it without calling evalf on the expression. But I'm not sure
what it is if there is
For SymPy Gamma, anything you can think of that fits there is a good
candidate. There is a lot of room for improvement. You can get some
ideas from https://github.com/sympy/sympy_gamma/issues. For SymPy
Live, the main things that need fixing are the pickling issues, i.e.,
finishing up
On Fri, Jan 10, 2014 at 2:57 PM, F. B. franz.bona...@gmail.com wrote:
On Sunday, November 17, 2013 8:04:49 PM UTC+1, David Li wrote:
There's also the more speculative ideas of using Emscripten (example:
http://repl.it/M4w) or Portable Native Client to compile the Python
interpreter to
I think the asm.js optimizations do make a difference when used; see a
benchmark of a physics engine ported with Emscripten:
http://josephg.com/blog/chipmunkjs-and-emscripten (though it's a bit
outdated). Regardless, if Emscripten is too slow in Chrome we can fall back
on Native Client (and
Ondřej, I did send you my complete 900 lines scripts to show the problem
and did not think of making a very simple demo; here it is:
import sympy
import numpy
n = 2
formula = 'x_0 + x_1'
x = sympy.symbols('x_0:%d' % n, real=True, bounded=True)
y = sympy.sympify(formula)
fx = f_x =
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