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Dive deep into the fundamentals of dynamic programming, exploring core principles, memoization techniques, and tabulation methods for optimization. Navigate through chapters dedicated to sequence problems, graph problems, and various optimization challenges, each filled with Python code examples, practical solutions, and insights to common and complex problems.

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