4 ms·

I hope it will be able to run SymPy[1] (maybe without the mpmath stuff). It would great to have `solve`, `expand`, `factor`, etc. I've been telling all my stud

I hope it will be able to run SymPy[1] (maybe without the mpmath stuff). It would great to have `solve`, `expand`, `factor`, etc. I've been telling all my students to use https://live.sympy.org/ https://live.sympy.org/ but having that available offline will be even better. [1] For anyone not-familiar, check this printable tutorial https://minireference.com/static/tutorials/sympy_tutorial.pdf https://minireference.com/static/tutorials/sympy_tutorial.pd...

uyjulian 5y ago
The Python implementation used is Micropython, so it is not compatible with most Python modules.
dr_kiszonka 5y ago
I was just looking for such a tutorial - thanks, Ivan! Question; besides your books - which I have just discovered - would there be any intro to math and engineering books that use Sympy / Python that you'd recommend? I posted that question earlier a while back but didn't get a lot responses.
- ivan_ah 5y ago
  SymPy is a bit of a niche so I don't know that many books based on it, specifically. In general, I don't know that many math/phys/engineering books that take the "computation first" approach. I'm sure they exist (e.g. using Maple or numerical using MATLAB). I guess you don't need to have a book that is explicitly designed for SymPy—you could follow any basic math/science textbook and reproduce complicated calculations and derivations using SymPy in parallel with the narrative of the book. I bet most of UGRAD physics will be one-liners... Here are some links to the best computer-based-science stuff I was able to find in my bookmarks: [ The official docs] tutorial https://docs.sympy.org/latest/tutorial/index.html https://docs.sympy.org/latest/tutorial/index.html + other docs https://docs.sympy.org/latest/index.html https://docs.sympy.org/latest/index.html + SymPy links from the wiki https://github.com/sympy/sympy/wiki/External-SymPy-Media%2C-Tutorials%2C-and-Presentations https://github.com/sympy/sympy/wiki/External-SymPy-Media%2C-... [ Reference of equations from advanced physics in a very condensed manner ] https://www.theoretical-physics.net/dev/index.html https://www.theoretical-physics.net/dev/index.html == https://www.theoretical-physics.net/dev/theoretical-physics.pdf https://www.theoretical-physics.net/dev/theoretical-physics.... It's mostly equations, but there are snippets of SymPy interspersed in there (written by Ondřej Čertík, who started SymPy) And now for something in the other extreme—instead of exact equations, you can do physics with simulations: [ Modelica ] Imagine you had an ODE (ordinary differential equations) solver with pre-defined "modules" for electrical, mechanical, thermal, and other systems. Modelica is not Python-based, but has its own language for describing variables, differential equations, and initial conditions. https://marcobonvini.com/modelica/2020/06/29/all-about-modelica.html https://marcobonvini.com/modelica/2020/06/29/all-about-model... via https://news.ycombinator.com/item?id=23690788 https://news.ycombinator.com/item?id=23690788 Intro talk https://www.youtube.com/watch?v=-mvEUuc-sWE https://www.youtube.com/watch?v=-mvEUuc-sWE and a Modelica book https://mbe.modelica.university/ https://mbe.modelica.university/
  - dr_kiszonka 5y ago
    Wow, brilliant! Thank you so much, Ivan!!!

uyjulian 5y ago

The Python implementation used is Micropython, so it is not compatible with most Python modules.

dr_kiszonka 5y ago

I was just looking for such a tutorial - thanks, Ivan! Question; besides your books - which I have just discovered - would there be any intro to math and engineering books that use Sympy / Python that you'd recommend? I posted that question earlier a while back but didn't get a lot responses.

ivan_ah 5y ago
SymPy is a bit of a niche so I don't know that many books based on it, specifically. In general, I don't know that many math/phys/engineering books that take the "computation first" approach. I'm sure they exist (e.g. using Maple or numerical using MATLAB). I guess you don't need to have a book that is explicitly designed for SymPy—you could follow any basic math/science textbook and reproduce complicated calculations and derivations using SymPy in parallel with the narrative of the book. I bet most of UGRAD physics will be one-liners... Here are some links to the best computer-based-science stuff I was able to find in my bookmarks: [ The official docs] tutorial https://docs.sympy.org/latest/tutorial/index.html https://docs.sympy.org/latest/tutorial/index.html + other docs https://docs.sympy.org/latest/index.html https://docs.sympy.org/latest/index.html + SymPy links from the wiki https://github.com/sympy/sympy/wiki/External-SymPy-Media%2C-Tutorials%2C-and-Presentations https://github.com/sympy/sympy/wiki/External-SymPy-Media%2C-... [ Reference of equations from advanced physics in a very condensed manner ] https://www.theoretical-physics.net/dev/index.html https://www.theoretical-physics.net/dev/index.html == https://www.theoretical-physics.net/dev/theoretical-physics.pdf https://www.theoretical-physics.net/dev/theoretical-physics.... It's mostly equations, but there are snippets of SymPy interspersed in there (written by Ondřej Čertík, who started SymPy) And now for something in the other extreme—instead of exact equations, you can do physics with simulations: [ Modelica ] Imagine you had an ODE (ordinary differential equations) solver with pre-defined "modules" for electrical, mechanical, thermal, and other systems. Modelica is not Python-based, but has its own language for describing variables, differential equations, and initial conditions. https://marcobonvini.com/modelica/2020/06/29/all-about-modelica.html https://marcobonvini.com/modelica/2020/06/29/all-about-model... via https://news.ycombinator.com/item?id=23690788 https://news.ycombinator.com/item?id=23690788 Intro talk https://www.youtube.com/watch?v=-mvEUuc-sWE https://www.youtube.com/watch?v=-mvEUuc-sWE and a Modelica book https://mbe.modelica.university/ https://mbe.modelica.university/
- dr_kiszonka 5y ago
  Wow, brilliant! Thank you so much, Ivan!!!