Hey Lee I will check it out. Thanks
On Sat, 13 Jul 2019 at 15:36, Oscar Benjamin
wrote:
> Hi Tanvi,
>
> It's great that you want to contribute!
>
> Take a look here (I guess you already did):
> https://github.com/sympy/sympy/wiki/introduction-to-contributing
>
> Every part of SymPy can be
The size of DNF is exponential in the number of variables, so it’s not
surprising it is slower for expressions with many variables. CNF is the
more standard form that scales well with the size of the expression.
Aaron Meurer
On Sat, Jul 13, 2019 at 2:55 PM Oscar Benjamin
wrote:
> Can you show
Hi Tilman,
It's a shame the project didn't work out but I'm glad to hear you're
still interested in contributing. Let us know if you start working on
this and want any guidance/help.
--
Oscar
On Sat, 6 Jul 2019 at 18:20, Tilman Roeder wrote:
>
> Hey everyone,
>
> After talking to the people at
On Sat, 13 Jul 2019 at 21:40, Gary Pajer wrote:
>
> Oscar,
>
> That does seem to do what I want ... I think.
> What's the difference between this and Chris Smith's answer?
I think that both Chris and Gagandeep thought that you were trying to
do something more complicated than you actually were.
Oscar,
That does seem to do what I want ... I think.
What's the difference between this and Chris Smith's answer? I think I
made a symbolic equation between symbols. Didn't you make a *pythonic*
assignment? Then python did the right thing when using the multiplication
operation '*' (by
Can you show a (short) example of some code that you've tried?
On Sun, 7 Jul 2019 at 17:18, רועי גרמיזו wrote:
>
> Hi, what is the best way to simplify a boolean equation with more than 8
> variables? setting force to true on simplify_logic just takes too long, and
> to_dnf sometimes
Thanks, I may look into that but for now I am just starting out with SymPy
and so am learning it by writing this app as well as doing some bugfixes
for it... :)
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Thank you, that looks cool. I think some of the stuff here would be
useful to integrate into SymPy Gamma
https://github.com/sympy/sympy_gamma.
Aaron Meurer
On Fri, Jul 5, 2019 at 8:51 PM Tomasz Pytel wrote:
>
> Hi all, an introduction first as requested per etiquette: I have been
> programming
I would suggest installing Python via Anaconda. That will include
matplotlib as well as many other tools that are useful when working
with SymPy, such as jupyter.
Aaron Meurer
On Fri, Jul 12, 2019 at 8:41 AM David Bailey wrote:
>
> (I forgot to send this reply to the group)
> On 12/07/2019
Hi Gary,
I wonder if we are overcomplicating things here. Does this do what you want?
x, y = symbols('x, y')
a = x + y
b = x * y
print(a * b)
--
Oscar
On Tue, 9 Jul 2019 at 03:11, Gary Pajer wrote:
>
> I'm sure I'm not the first person having trouble getting started. If there
> is a good
> Le 12 juil. 2019 à 22:47, David Bailey a écrit :
>
> On 12/07/2019 14:48, Jean ABOU SAMRA wrote:
>
> Cough. It's more complicated than I thought at first.
> Thank you! Amazingly, all that worked first time - I certainly would not have
> stumbled upon that solution on my own! Pip did the
Hi Tanvi,
It's great that you want to contribute!
Take a look here (I guess you already did):
https://github.com/sympy/sympy/wiki/introduction-to-contributing
Every part of SymPy can be improved in some way. You mention matrices
- there is a lot of work going on for matrices and many issues:
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