I'd like to be able to calculate symbolic Sums (finite and infinite).
>From searches of this discussion group, it's clear that this can be
done, but I can't find any relevant documentation. Any pointers will
be appreciated.
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Something must be missing from that URL (I've tried various prefixes,
but couldn't make any of them work).
Phillip
> We are missing good documentation for this, but look here for tons of
> examples how to evaluate sums symbolically and numerically:
>
> sympy/concrete/tests/test_sums_products.py
I hate underscores, but Sum with a capital S seems reasonable. When
doing the import, one could choose to import SymPy.sum as Sum, but it
would be more convenient to be able to do 'from SymPy import *' and
get everything at one shot.
>
> BTW: What about using sum_ or Sum instead of overwriting Py
I tried to construct a simple sum based on the examples in
test_sums_products.py; here's my code:
from sympy import *
n= Symbol('n', integer=True)
print Rational(1,2)+Rational(1,3)+Rational(1,4)
print sum(Rational(1,n), (n, 2, 4))
The first print statement gives the correct result, 13/12.
The s
When I type something like the following, I would expect to get a
result of oo, indicating that the sum diverges to infinity:
sum(1/n, (n, 2, oo))
Instead, I get the same thing back (actually not quite-- the 's'
changes to a capital 'S'). Any idea why this doesn't work?
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Actually, n was declared to be an integer. Consider the following
four sums:
#1: sum(1/3,(n,1,3))
#2: sum(Rational(1,3),(n,1,3))
#3: sum(1/n,(n,1,3))
#4: sum(Rational(1,n),(n,1,3))
#s 2 and 3 work, while #s 1 and 4 don't. This seems strange. I
understand that #1 gives a result of zero because
That would be much nicer!
Phillip
> Maybe the sum could return oo immediately.
>
> Ondrej
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To
Documentation at http://docs.sympy.org/0.6.7/modules/polynomials.html gives
the following example:
from sympy import *
x, y, z = symbols('xyz')
This doesn't work. I believe that the syntax has changed.
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I would like to perform operations on polynomials over GF(2), i.e.,
polynomials with binary coefficients. Is there a way to do this with SymPy?
There is a sympy.polys.galoistools module, but I haven't found any user
documentation for it
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