I am almost always disappointed in such lists as they almost never contain the books I have never seen before. I got lucky today.

The list has [0] Multivariable Calculus by Don Shimamoto. I saw it on Amazon first(so I have seen it before, but not on lists such as the linked one), but didn't want to pay $40 for this strikingly beautiful book. Turns out it's free.

The real analysis section has [1] by Lafferriere, Lafferriere and Mau Nam. It's short, sweet and very pretty. No bloat. Logically organized. For example, the section "Applications Of The Completeness Axiom" contains everything you need to know as pertains to the topic (within elementary analysis) in one place. Such things usually get lost in the weeds in regular analysis books. Another book I like there is [2] which is on Lebesgue Integral and Measure Theory by Cheng.

[0] https://drive.google.com/file/d/1IB-fSe-KR6mbo89iFTJVSA0CrFf...

[1] https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?artic...

[2] https://www.gold-saucer.org/math/lebesgue/lebesgue.pdf

On the other hand, your time is never free - to the point that no matter how much you pay for a math book, you will end up paying incomparably more with your time spent studying it.

If you guys like visual / intuitive guides, I'm trying to release my own and you can find them using the links below:

- Linear Algebra: https://github.com/photonlines/Intuitive-Overview-of-Linear-...

- Maxwell's Equations: https://github.com/photonlines/Intuitive-Guide-to-Maxwells-E...

A more recent version of the last link in the Statistics and machine learning section is (1)

(1) https://github.com/percyliang/cs229t/blob/master/lectures/no...