WEwesturner·Nov 5, 2022
SageMath (and the cocalc-docker image, and JupyterLite, and mambaforge, ) include SymPy; which can be called with `evaluate=False`
Advanced Expression Manipulation > Prevent expression evaluation: https://docs.sympy.org/latest/tutorials/intro-tutorial/manip...
> There are generally two ways to prevent the evaluation, either pass an evaluate=False parameter while constructing the expression, or create an evaluation stopper by wrapping the expression with UnevaluatedExpr.
From "disabling automatic simplification in sympy"
https://stackoverflow.com/a/48847102 :
> A simpler way to disable automatic evaluation is to use context manager evaluate. For example,
from sympy.core.evaluate import evaluate
from sympy.abc import x,y,z
with evaluate(False):
print(x/x)
sage.symbolic.expression.Expression.unhold() and `hold=True`:
https://doc
Read the rest
.sagemath.org/html/en/reference/calculus/sage/sym...
IIRC there is a Wolfram Jupyter kernel?
WolframResearch/WolframLanguageForJupyter:
https://github.com/WolframResearch/WolframLanguageForJupyter
mathics/IMathics is the Jupyter kernel for mathics:
https://github.com/mathics/IMathics@main#egg=imathics
#pip install jupyter_console imathics
#conda install -c conda-forge -y jupyter_console jupyterlab
mamba install -y jupyter_console jupyterlab
jupyter console
jupyter kernelspec list
pip install -e git+https://github.com/mathics/imathics@main#egg=mathics
jupyter console --kernel=
%?
%logstart?
%logstart -o demo.log.py
There are Jupyter kernels for Python, Mathics, Wolfram, R, Octave, Matlab, xeus-cling, allthekernels (the polyglot kernel). https://github.com/jupyter/jupyter/wiki/Jupyter-kernels
https://github.com/ml-tooling/best-of-jupyter#jupyter-kernel...
The Python Jupyter kernel checks IPython.display.display()'d objects for methods in order to represent an object in a command line shell, graphical shell (qtconsole), notebook (.ipynb), or a latex document:
_repr_mimebundle_(), _repr_html_(), _repr_json_(), _repr_latex_(), ..., __repr__(), __str__()
The last expression in an input cell of a notebook is implictly displayed:
from IPython.display import display
%display? # argspec, docstring
%display?? # ' & source code
display(last_expresssion)
Symbolic CAS mobile apps with tabling and charting and varying levels of support for complex numbers and quaternions, for example: Wolfram Mathematica, Desmos, Geogebra, JupyterLite, Jupyter on mobile