Real analysis is like learning the grammar of calculus—the epsilon-delta definition formally captures what we mean by a "limit". That transition from school math, where you solve, to proofs, where you justify, feels like shifting from riding a cycle to building one.
Honestly, in my algorithms class, we use that same rigorous mindset for proving correctness and complexity, not just for derivatives. So for a CS focus, I'd say dive into proofs through discrete math first—it feels closer to home than starting with delta-epsilon on day one.
My own *jugaad* was using my data structures textbook to finally understand how to structure a proof logically; those ‘for all, there exists’ patterns made more sense when tracing a loop invariant than a function limit.
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