Comments (1)
I gather that you are working with Maxima compiled with GCL which is what is installed by the Debian package for Maxima. In order to use maxima-jupyter, you will have to install another Lisp implementation and use it to compile Maxima; GCL cannot be used.
I will recommend Clozure CL since that is what I have used to work with maxima-jupyter, but I believe SBCL will also work. Other implementations (Lispworks, Allegro, ABCL, ECL, Clisp) might work but I am less sure.
I see the Readme.md for maxima-jupyter is unclear about Lisp implementations. I have pushed a commit to make Readme.md clearer in that respect.
Compiling Maxima is pretty simple. (1) Download a Maxima tarball from the Maxima project at Sourceforge and unpack it. (2) sh bootstrap && ./configure --enable-foolisp && make && make install (where foolisp is the name of your Lisp implementation).
Thank you for your interest in maxima-jupyter, I hope this helps in some way.
from maxima-jupyter.
Related Issues (20)
- Debugger HOT 5
- Need help understanding whether to target JupyterLab or notebook HOT 2
- Build docker image failed HOT 3
- Error using question mark abbreviations HOT 4
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- "makelist() $" still printing an output HOT 7
- Install instructions HOT 7
- Incompatibility with common-lisp-jupyter-20220707 HOT 2
- installation: Maxima encountered lisp error invalid number of arguments: 5 HOT 3
- colab-maxima-bootstrap HOT 2
- `codemirror-mode-meta-patch` failure on source installation (jupyterlab 3.5.0) HOT 4
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- taylor() and pade() HOT 2
- The stream #<a JUPYTER::STDIN-STREAM 0xxxxx> has no suitable method for GRAY:STREAM-INTERACTIVE-P. HOT 3
- Race condition with gnuplot_pipes HOT 13
- None of the installation instructions work HOT 3
- [Solved] Installation under Termux ARM64 HOT 6
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from maxima-jupyter.