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This looks like a nice overview of useful stuff. I just began consolidating some code I have been using to get typeset representations of mathematical operations done in sympy. I use it to help my code averse students understand what the code has done. I see that you are still working on the text/output part of the sympy/python section. Anyway, I thought what I've done might be something useful for that section of your website. The package is presently just a .py file. I am working my way towards a pypi package and possibly getting this embedded in sympy. The git repository is Easy_Pretty_Math aka Display_math_operations.

In the Examples subsection of the Eigenvalues and Eigenvectors section (in Linear Algebra), you state "Create the symmetric matrix $S = P + P^T$", but the code creates $S = P P^T$ (matrix multiplication).

As both would be symmetric they'll both work; I'd guess you mean the product as that's what you used in the Linear Algebra with SciPy section.

Hey Patrick,
This semester I'm teaching to mathematicians in an introduction to programming course. I was wondering if you have any kind of roadmap for this project.

I will recommend this content to my students so It's possible that I will be adding and commenting some of the code in your notebooks.

Let me know if I can help with something.

Not sure how self-contained you're aiming this to be, but from a skim I saw that lambda functions are used in the root-finding section (first seen in the Bisection bit) but weren't introduced in the Function section (so I'm assuming that they aren't covered in the Python section at all).