A computer algebra system written in pure Python http://sympy.org/ . To get started to with contributing https://github.com/sympy/sympy/wiki/Introduction-to-contributing
I want the following expression to be simplified in terms of v, I preferred collect() method but it is giving same expression as input .
input expression :(8*c**4*v**2 + 6*c**2*v**4 + 5*v**6)/(16*c**6) + 1
output required:5*v**6/(16*c**6) + 3*v**4/(8*c**4) + v**2/(2*c**2) + 1
through collect():
>>> collect((8*c**4*v**2 + 6*c**2*v**4 + 5*v**6)/(16*c**6) + 1 , v)
1 + (8*c**4*v**2 + 6*c**2*v**4 + 5*v**6)/(16*c**6)
Can anyone suggest better method to do this task
sin(acos(cos(a) * cos(pi / 2 - 2 * γ)))
evaluates directly to sqrt(-sin(2*γ)**2*cos(a)**2 + 1)
, which is something that I don't want. is there a way to tell SymPy to not perform this sort of simplification?
from sympy.core.expr import UnevaluatedExpr
sin(UnevaluatedExpr(acos(cos(a) * cos(pi / 2 - 2 * γ))))
Hello everyone!
I am Shatakshi, a third-year Computer Science undergraduate student at Mody University, India.
I have previously worked on research papers so I am comfortable with python and theoretical concepts of Machine Learning and their implementation.
This is the first time I will be contributing to a big project with so many contributors. I have read the instructions to contribute. It will be really helpful if I can get some clue on how to start contributing to this kind of projects.
There can be issues parallelizing things with SymPy because of serialization bugs.
@asmeurer K so, the best way to do this is by serialising a function that wraps lambidfy rather than creating your lambidfied function first then trying to serialise that. Thi is working for me in task nicely
def numba_func(consts):
model = sp.lambdify(tuple(consts.keys()),integral,"mpmath")
return model(*tuple(consts.values()))
out = client.map(numba_func, consts_list)
result = client.gather(out)
subeq: UNDERSCORE L_BRACE equality R_BRACE;
supeq: UNDERSCORE L_BRACE equality R_BRACE;
supeq
should be using CARET
instead?
plot.py
and came across the check_arguments()
function here. Though I sort of understand how it works, I still don't understand it's purpose. The docstrings aren't much of a help either. Can someone tell me why the function behaves that way?
>>> Sum(exp(x*sin(n/m)),(n,1,m))
Sum(exp(x*sin(n/m)), (n, 1, m))
>>> Sum(exp(x*sin(n/m)),(n,1,m)).doit()
Piecewise((m*exp(c3_), Eq(exp(c2_), 1)), ((exp(c2_) - exp(c2_*(m + 1)))*exp(c3_)/(1 - exp(c2_)), True))
pip install -e
or setup.py develop
. Although I personally just run Python directly from the sympy
directory. That does not require reinstalling, as it will just import the development version of SymPy directly.
./bin/test test_solvers.py
, and use -k
to select a specific test like ./bin/test -k test_whatever