Hi,
I am Aditya Shah and I am currently pursuing Bachelors in Computer Science
at BITS-Pilani university. I am interested in contributing to Sympy as a
part of GSOC 2014. Can anyone please guide me for the same?
Thanks.
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On Tuesday, February 11, 2014 3:09:20 PM UTC+4, Aditya Shah wrote:
Hi,
I am Aditya Shah and I am currently pursuing Bachelors in Computer Science
at BITS-Pilani university. I am interested in contributing to Sympy as a
Adding to to what Sergey replied, you also need to set up your environment
according to [1]
[1] https://github.com/sympy/sympy/wiki/Development-workflow
On Tuesday, February 11, 2014 4:39:20 PM UTC+5:30, Aditya Shah wrote:
Hi,
I am Aditya Shah and I am currently pursuing Bachelors in
To correct Jason, I had set out to build an electromagnetism module, but we
realised many issues with the framework that needed to be solved first.
Currently, I have an open PR that deals with the field functions you
mentioned. It will be integrated into the new sympy.physics.vector module.
I
Thanks a lot! it helped!
On Tuesday, 11 February 2014 16:39:20 UTC+5:30, Aditya Shah wrote:
Hi,
I am Aditya Shah and I am currently pursuing Bachelors in Computer Science
at BITS-Pilani university. I am interested in contributing to Sympy as a
part of GSOC 2014. Can anyone please guide me
Hi Sachin,
Some things I'd like to be there in the electrodynamics module:
1. Point Charges, Continuous charge distributions - Electric Field and
Potential
2. Magnetic field - Magnetic Vector Potential
3. Maxwell's Equations
5. Energy, Momentum Conservations - Poynting Vector, Momentum Tensor
6.
As I mentioned, a PR for these functions is in the _pipeline_, which means
you wont be able to see the commit changes in the master as yet. The
earlier PR had to be closed due to the git conflicts caused by the creation
of the new module. The features you suggest are a must for any such module.
Thanks, for the answer, it works !
Vincent
Le jeudi 2 janvier 2014 17:44:42 UTC+1, Vincent MAILLE a écrit :
Hi,
I found an example of ispoly here :
http://code.google.com/p/sympy/source/browse/trunk/tests/test_polynomials.py?spec=svn800r=800
but it seems not work with de 7.4.1
On Monday, February 10, 2014 11:27:09 PM UTC-5, monde wilson wrote:
why eigenvectors very slow
what is the difference between numpy and sympy when doing matrix
calculation
Sympy calculates eigenvectors symbolically (thus exactly), numpy calculates
them numerically using floating point
Hi, is it possible to find all possible matches :
exp = S('3*x**2+2*x**3')
k, n, A,B = Wild('k',exclude = [0]), Wild('n',exclude =
set([0,1])),Wild('A'), Wild('B')
T = (A+k*x**n+B).matches(exp)
returns
{k_: 2, n_: 3, A_: 0, B_: 3*x**2}
But can I have :
[{k_: 2, n_: 3, A_: 0, B_: 3*x**2},
I don't think it's implemented.
Note that in general you would have n choose 2 possibilities if you
have n extra terms. And that's not considering that you could add and
subtract anything and it would still technically be a valid match.
Aaron Meurer
On Tue, Feb 11, 2014 at 3:40 PM, Vincent
evaluate=False is the way to do this:
Pow(2, -S.Half, evaluate=False)
1/sqrt(2)
p=_
3*p,p+1
(3*sqrt(2)/2, sqrt(2)/2 + 1)
Note that using the unevaluated power in an expression undoes the
unevaluation; you can get by, perhaps, by making a symbol have that name.
p=Symbol(str(p))
3*p,p+1
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