I found this useful as a quick overview of some of the capabilities. I
think this and similar demonstrations of capabilities should be added to
the SymPy docs introduction in an "Further examples of uses and
capabilities" section.
Some related comments:
1. Add SageMath (https://sagemath.org) as one of the example CASes
(note it includes SymPy as well as Maxima and lots of other stuff).
2. I think this tutorial is mostly useful for mathematically more
sophisticated viewers who also have some concept of programming and
want a quick overview. I and many of my colleagues in chemistry have
found that although our students are required to take mathematics
through multivariable calculus our average student needs at least a
couple of hours of tutorial work to even begin to make good use of
tools such as SymPy or SageMath. I expect this is less of a problem
as you move into physics, engineering and math.
Regards,
Jonathan
On 6/30/20 4:11 PM, Nicolas Guarin wrote:
I adapted Maxima's tutorial "Maxima in 10 minutes" to SymPy for one of
my courses. I would like to know if you consider useful to share it
somewhere. This is an nbviewer link:
https://nbviewer.jupyter.org/github/nicoguaro/AdvancedMath/blob/master/notebooks/sympy/sympy_in_10_minutes.ipynb
Best,
Nicolás
--
Dr. Jonathan Gutow
Chemistry Department
UW Oshkosh
web: https://uwosh.edu/facstaff/gutow
e-mail: [email protected]
Ph: 920-424-1326
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