SymPy project

[Tomasz Pytel]

Hi all, I've posted here before about a SymPy project I've been working on for the past 6 months or so and I've gotten it to a point where I would not feel embarrassed were it to be used by someone other than me.

It is a YSWYG graphical symbolic scratchpad app (Windows or Linux), and I wonder if anyone could give me some tips on any forums or sites it would be appropriate to post it to in order to publicize it a little?

The project itself is on GitHub: https://github.com/Pristine-Cat/SymPad

Would really appreciate any ideas :)

[Oscar Benjamin]

Posting here is a good idea. There's probably somewhere on the wiki
that lists related projects. Otherwise perhaps mailing lists related
to Jupyter or Spyder might be relevant.

I suggest uploading it to pypi so it can be installed with pip first
though. That substantially lowers the barrier to someone trying it
out.

I just tried and found a problem with f(x) which seems to be
interpreted as f*x so you can't use it for solving ODEs e.g.:

In [2]: dsolve(f(x).diff(x)-x)
Out[2]:
2
x
f(x) = C₁ + ──
2

Oscar

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[Tomasz Pytel]

On Saturday, September 7, 2019 at 11:35:26 AM UTC-3, Oscar wrote:

Posting here is a good idea. There's probably somewhere on the wiki
that lists related projects. Otherwise perhaps mailing lists related
to Jupyter or Spyder might be relevant.

I suggest uploading it to pypi so it can be installed with pip first
though. That substantially lowers the barrier to someone trying it
out.

Good point, thx, will look into it.

 

I just tried and found a problem with f(x) which seems to be
interpreted as f*x so you can't use it for solving ODEs e.g.:

In [2]: dsolve(f(x).diff(x)-x)
Out[2]:

I just tried and found a problem with f(x) which seems to be 
interpreted as f*x so you can't use it for solving ODEs e.g.: 

In [2]: dsolve(f(x).diff(x)-x) 

Undefined functions are not natively supported yet, but its on my todo list when I tackle ODEs in general.