maxima-jupyter

I'll add options to run Maxima: * [Maxima on Android](https://play.google.com/store/apps/details?id=jp.yhonda), built with ECL. * [Maxima on Jupyter](https://github.com/robert-dodier/maxima-jupyter) * Maxima can be used via [SageMath](https://www.sagemath.org/) and [KDE Cantor](https://apps.kde.org/cantor/). * Of course, with Emacs: [maxima-mode](https://gitlab.com/sasanidas/maxima) ([screenshot](https://community.linuxmint.com/img/screenshots/maxima-emacs...)) and [maxima-interface](https://github.com/jmbr/maxima-interface) to ease the interface between Maxima and Common Lisp. * it can be used [from a Lisp REPL](https://mahmoodsheikh36.github.io/post/20230510181916-maxima...). (and [wxMaxima](https://wxmaxima-developers.github.io/wxmaxima/): a graphical frontend as mentioned earlier) (find the links and more scientific libraries for C

I also tend to just use a CAS, specifically maxima (either commandline, via emacs, via wxMaxima or via notebook, see https://github.com/robert-dodier/maxima-jupyter ). It has the plotting, great units etc, and also incredibly handy to do things like a taylor expansion around a point with no effort. If not maxima, then the old M-x calc will usually do the job

An alternative is to run maxima from jupyter: https://github.com/robert-dodier/maxima-jupyter.

Maxima, the gpl'ed version of Macsyma (which I used in grad school days for stat mech calculations on spin systems with Potts, Ising, and other models) is available for most systems. There is a Jupyter kernel for it[1]. I am personally more a fan of Julia than Python, and Julia + Jupyter is an awesome combination. [1] https://github.com/robert-dodier/maxima-jupyter