On Sat, Jun 7, 2008 at 11:34 AM, Ondrej Certik [EMAIL PROTECTED] wrote:
On Fri, Jun 6, 2008 at 7:50 PM, Rickard Armiento [EMAIL PROTECTED] wrote:
Hi,
I recently discovered sympy and really like the idea of a symbolic
math engine in python. I'm trying to learn how to use it, but I am
On Fri, Jun 6, 2008 at 7:50 PM, Rickard Armiento [EMAIL PROTECTED] wrote:
Hi,
I recently discovered sympy and really like the idea of a symbolic
math engine in python. I'm trying to learn how to use it, but I am
confusing myself with how to work with generic functions. Any help is
much
So that's not how I would like this to be. It should either work for
all functions or for no functions.
I see. I do not use numpy matrices anyway, just arrays, as they are not
really the linear algebra matrices, only arrays with some peculiar
modifications - they have no extra value that
Let's clean this up. I sent an email to the numpy-list asking for an advice:
http://projects.scipy.org/pipermail/numpy-discussion/2008-June/034801.html
The ultimate reason that Matrix is not a subclass of a Basic is that
it is mutable, while SymPy objects need to be immutable, so that when
you
Disadvantage -- if one needs to set entries of a Matrix using the
syntax A[1, 2] = y not only at the beginning of the calculaton, but
also in the middle, then he would have to do: A = Matrix(Array(A)[1,2]
= y). Of course A[1,2] = y would create an exception saying: use the
A =
Several expression forms seem be reduced to a canonical form (both in
the representation and in the pretty printed output). Examples:
1. Factorial vs. Gamma function
2. Sqrt(radical) vs. a**(1/2)
Is there any way to control what form is used?
Another case, (i*j)**(1/2) is represented as
