Is there any publicly available material suitable for in-class teaching of mathematical principles that provides interactive visualization of concepts such as eigenvectors, matrix rotation, extremal points of function graphs etc?

I am thinking about something like Pluto + Makie, but really anything would be OK. The only condition I have is that it should be interactive, ie, enabling and encouraging students to exploratively learn about these concepts in an easily accessible way.

Thanks a lot for the suggestions, @j-fu! However, I was really looking for something in Julia to also encourage my students to consider using programming as a regular tool in their toolbox. I was also hoping that someone has already done this, e.g., for some Calculus 101/Linear Algebra 101 class for mathematics/computational engineering students, since I donâ€™t know if I will have the time to code everything (anything) myself.

However, since I asked, I managed to nerd-snipe myself and created two visualizations for a Taylor approximation for the sine/cosine function as a proof-of-concept/demonstrator (mostly for myself). One solution uses just Makie.jl (GLMakie.jl), the other is based on Pluto.jl + Plots.jl. Maybe they will serve someone else as a starting point; should I manage to create more of these I will probably put them in repo and link to it after the semester.

EDIT: I think the Makie version is visually nicer. On the other hand, the Pluto solution requires less code, is conceptually simpler, and probably easier to get running (and easier to tinker with) for a non-programmer student.

Thanks a lot for sharing! This looks great as well! Now I am really torn between Pluto+Plots and IJulia+Plots+Interact. I like (for instructive) reasons that you can go through a Jupyter notebook step by step (i.e., â€śdeveloping the storyâ€ť). OTOH, Pluto still seems to be much easier to set up for the students, since they only need to install Pluto and run it and the rest happens automagically.