Knapsack Problem in Python | Dynamic Programming Algorithm + Backtracking Explained Step by Step

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 Lecture Link

In this video, we’ll write and explain the 0/1 Knapsack algorithm in Python line by line. You’ll learn how to: 1- Build a Dynamic Programming (DP) table to find the maximum profit 2- Understand each part of the nested loops that fill the table 3- Implement the backtrace function to recover the selected items 4- See how DP and backtracking work together in solving optimization problems

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