the package is both for symbolic/numeric solver for SDE's and could run
within Jupyter notebook environment,
https://github.com/cchuang2009/PySDE
cch
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As title, sympy package had been introduced in these lectures, especially
for Multiple-variable functions. If interested, welcome to visit the site:
https://github.com/cchuang2009/2016-1/tree/master/calculus
cch
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Hi all,
I'm preparing a new lecture for dynamical systems from math views.
It owns the features:
a) min Python resources used as possibly
b) IPython notebook interfacs
c) data Visualization integrated
And thanks to Sympy to do much help to this lecture. for example, numerical
schemes
I will give a post in EuroScipy about Solver for Stochastic Differential
Equations which is implemented via Sympy and other.
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to the idea?
Best regards,
chu-ching huang
cchuang2...@mail.com
Math Group, CGE
Chang-Gung University, Taiwan
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I am starting to write package which can solve stochastic differential
equation in Python. Now it owns basic functions which can do symbolic/
numeric calculation and plotting work. Of course, sympy is the core
used to implement the symbolic part. If interested, you can find it at
the following
Hi,
I know this problem can be treated correctly as above. The example
given here is just to say that using diff has to be more careful
since
diff(f,x,y).subs([(x, a), (y,b)])
may be not equal to $lim_{(x,y)\to(a,b)} f(x,y)$.
Thanks,
cch
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Hi all,
As title, this is a patch for matplotlib used in Sympy:
@@ -17,7 +17,7 @@
try:
import pylab as p
-import matplotlib.axes3d as p3
+import mpl_toolkits.mplot3d as p3
except ImportError:
raise ImportError(Matplotlib is required to use mplot3d.)
Hi all,
3d plotiing function is back in matplotlib-0.99. And it is called by:
from mpl_toolkits.mplot3d import Axes3D
The 3d plotting demo file in sympy examples seems to be modified due
to this change.
cch
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Just rebuild sympy-git source and test the following:
from sympy import *
a=DeferredVector('a')
b=DeferredVector('b')
n=10
A=eye(11)
a=Matrix(1,n,lambda i,j: 'a%g' %j)
b=Matrix(1,n,lambda i,j: 'b%g' %j)
A[0,1:]=a
A[1:,0]=b.transpose()
A.det()
and it shows the right answer:
1 - a0*b0 - a1*b1 -
Hi,
Sympy-live is a good idea for light-weight sympy programming. But is
there any schedule for supporting simple python plot functionality?
Thanks in advance,
cch
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I give a lecture about python computing in our campus. To make a
mobile environment for students outside the class, we make a mobile
linux system which can be installed DVD or USB stick and run on
several PC's and laptop's, enen on Asus eeePC (701). This platform can
also allows to update
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