Hey Aaron Meurer, I want to know if I am going in the right direction. I want
your review in this(Regarding Solver) so that I can confidently proceed further
with my proposal.
Thanks in advanced.
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The parts of the algorithm that are implemented are in
sympy/integrals/ in risch.py, rde.py, and prde.py.
A good place to start would be to look at Chetna's unmerged pull
requests from 2013. There is also the gitter.im/jksuom/sympy chat
history, where the most recent developments have been
There are flags you can pass to solve() to make it always return a
consistent type. For instance, dict=True. This is recommended if you
are processing the solutions programmatically.
Aaron Meurer
On Fri, Feb 28, 2020 at 2:29 AM Thomas Ligon wrote:
>
> The problem is solved. The subs() problem
Hello. I'm Anant Thazhemadam, an undergrad from Bangalore, India, majoring
in Computer Science and Engineering, with a minor in Electronics and
Communication Engineering.
I've been exposed to Python, and been involved with development using
Python for about 2 years now.
Although I'm not
Hello,
I am Shikhar, an undergraduate student at IIIT Hyderabad. I have been using
python for about 2 years and have developed few basic projects in it. I am
interested in working on solving systems of ordinary differential equations
mentioned in the ideas page.
I have done following
SymPy indeed reuses Python's built in parser, but it has some
extensions to the tokenizer to allow things like implicit
multiplication (in sympy.parsing.sympy_parser). These things are not
abandoned. You can use them via the parse_expr() function. See
There is an open issue about this https://github.com/sympy/sympy/issues/11868.
Aaron Meurer
On Fri, Feb 28, 2020 at 12:00 PM Lorenzo Monacelli
wrote:
>
> Dear all,
> I have a complex expression and I want to separate imaginary and real part,
> however I noticed that when I have derivatives on
Dear all,
I have a complex expression and I want to separate imaginary and real part,
however I noticed that when I have derivatives on a function, the real and
imaginary part separation does not work properly:
t = sy.Symbol("t", real = True)
f = sy.Function("f", real = True)(t)
Then if I ask
Hello,
I am Karan Dixit, a third year undergraduate student of Computer Science at Sir
M. Visvesvaraya Institute of Technology,Bangalore. I am enthusiastic about
participating in Google Summer of Code and contributing to SymPy.
Especially, I am interested in the expansion of Sympy's solver
I have gone through the sets module that include many functions
https://docs.sympy.org/latest/modules/sets.html
So at this time what other functions are to be implemented?
Some of the things that I not found in the docs of sets module are:
1.
Set builder form to roaster form or
Hi,
I am Risubh Jain, a 2rd year undergraduate student of Computer Science at
IIIT Hyderabad, India. I first contributed to sympy towards the end of
2019. I wanted to work with sympy for GSOC 2020 and am inclined toward the
project "Risch algorithm for symbolic integration".
I first read
Dear Group,
I have been exploring some of the SymPy source files, and came across a
parser. This puzzled me because I have always thought that SymPy didn't
need its own parser because its syntax is consistent with Python, but
then all the operators are overloaded as required.
I also
The problem is solved. The subs() problem was also caused by overlooking
the list returned by solve().
I admit that I was misguided by the fact that I previously worked a lot
with the MATLAB symbolic math toolbox. In it, solve() for multiple
variables returns a struct, and for a single variable
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