Despite their age, the MIT lectures were great. If you're good at math and enjoy proofs this is the class for you. Same thing with the CLRS book. One of the best books on DS & Algos out there, but it's so dense it'll make your eyes glaze over, unless you love proofs and highly technical reading.
To get your feet wet, Grokking Algorithms is a good book.
A lot of people recommend Princeton's Algorithm Course. I took Algorithms in school already, but I'm probably going to take this course to round out my knowledge.
EDIT: special shout out to geeks for geeks. Great Website
probably is. don't have it handy.
since you're learning data structures and algorithms in python, any general data structures and algorithm course should work; just implement them in python.
it's hard to suggest [a good resource] off the top of the head, that isn't a mere udemy shill or incredibly dense like stanford's algo course. grokking algorithms was okay, while people might suggest introduction to algorithms (but there's a reason why it's 1k pages and pure madness to "refresh" your knowledge).
doing projects (crash course, automate) would help to refresh using python.
For a (much) younger audience, I could see the teacher buying this, but in that breath, they are always looking to not spend a lot (or any) money on supplies, so a $30-40 coloring book for something that they could find a free alternative online isn't worthwhile. But, $1-5 per concept might be worthwhile.
I do, however, love the visualization of your coloring of the page. This could work via writing the book in a visualized "worked example" format, which is how I worked through the data structures course I taught over the summer.
In that light, I can see it being very similar to something like Grokking Algorithms , which I did buy because I enjoyed the idea of visualizing the algorithms (for my students and my own edification).
Final note if you went that route is be mindful of colorblind customers and look to include something like a pattern difference as well (maybe angle of coloring the block?).
Overall, I love the idea; my research focus in effective means of conveying concepts to students, so I'd love to stay informed as you work through it and might be tempted to use whatever you tricks you provide as additional exercises when I teach again.