Algorithms: Finding Maximum Value in a Sequence

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Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Covers integers, rings, subrings, invertibility, divisors of zero, and equivalence relations in formal fractions.

Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.

Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Covers control operations, algorithmic complexity, function calls, and travel time analysis.

Covers Lenstra's Algorithm for integer factorization, which efficiently computes prime factors of an integer.

Explains the binary search algorithm using two pointers to efficiently search a sorted list.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Explores optimization problems and greedy algorithms for efficient decision-making.