**Core Operations:** Indexing, slicing (lst[i:j:k]), append, extend, insert, remove, pop, sort, reverse. Membership (in) is O(n); for repeated lookup use set.
**Gotchas:** lst.reverse() and lst.sort() mutate in-place, return None. reversed(lst) and sorted(lst) return new iterable/list. lst += [1] mutates; lst = lst + [1] creates new. Slice assignment lst[1:3] = [a,b] can change length.
**Production:** Prefer list comprehensions over manual loops. Use bisect for sorted lists....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Comcast. The answer also includes follow-up discussion points that interviewers commonly explore.
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