For those of you who don't know, you can make a separate public room
(please make it public) in Gitter under the SymPy org at
https://gitter.im/sympy/sympy#createroom. This is useful if you want to
keep your GSoC meetings separate from the main Gitter chat.
Aaron Meurer
> To all the students who
Hi Rick,
On Fri, May 5, 2017 at 7:37 AM, Rick Muller wrote:
> Ondrej,
>
> (Apologies for the length...)
>
> Here's my larger plan. It's strictly a night-and-weekends thing, but I'd be
> interested in working with you (or anyone else here) who thinks this is fun.
>
> I'd like to get better at gen
Thanks for sharing. One thing I would suggest, to avoid mixing SymPy and
NumPy functions, is to only import sympy and numpy as
import sympy as sym
import numpy as np
and then use sym.cos or np.cos. Otherwise, one cell has SymPy cos and
another has NumPy cos, and it can be very confusing, since yo
Hi friends, I want to start learning sympy and want to contribute for the
organization. Please tell me the useful resources including the one from
youtube and github repositories to start with for this as I a really
serious about. I am not new to open source, had contributed for kivy
organizati
The docs should list most of the functions in SymPy. See
http://docs.sympy.org/latest/modules/index.html. You can also run
import sympy
dir(sympy)
to see all the names that are defined by SymPy.
Aaron Meurer
On Fri, May 5, 2017 at 1:48 PM, Chris L wrote:
> Is there a complete reference list o
Is there a complete reference list of known function keywords which sympy
recognises?
An example from another package would be:
- Functions *(min, max, avg, sum, abs, ceil, floor, round, roundn, exp,
log, log10, logn, pow, root, sqrt, clamp, inrange, swap)*
- Trigonometry *(sin, cos, ta
The command
solve((1-x)**1 - 0.99, x)
doesn't really work, but maybe that's no so bad since `solve` is searching
for all complex roots. But even
from sympy.solvers.solveset import solveset_real
solveset_real((1-x)**1 - 0.99, x)
is very slow. Manually raising both sides to the 1
Ondrej,
(Apologies for the length...)
Here's my larger plan. It's strictly a night-and-weekends thing, but I'd be
interested in working with you (or anyone else here) who thinks this is fun.
I'd like to get better at generating expressions for correlated wave functions.
Both to evaluate and op
Looks nice. What is the license?
It could potentially be merged into SymPy.
On Friday, 5 May 2017 02:17:39 UTC+2, chu-ching huang wrote:
>
> the package is both for symbolic/numeric solver for SDE's and could run
> within Jupyter notebook environment,
>
> https://github.com/cchuang2009/PySDE
>
>
Congratulations everyone.
Regards
Sampad Kumar Saha
Mathematics and Computing
Department of Mathematics
I.I.T. Kharagpur
On Fri, May 5, 2017 at 7:42 AM, Sartaj Singh
wrote:
> Congratulations everyone!
>
> On May 5, 2017 12:31 AM, "Aaron Meurer" wrote:
>
>> Hi everyone. As many of you may have
10 matches
Mail list logo
