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Mastering Dynamic Programming (Python)

Dynamic Programming (DP) is often the final boss of technical interviews. This course breaks down DP into a repeatable process: start with the recursive solution, identify the state, memoize (top-down), then transform to tabulation (bottom-up). Covers 1D DP, 2D grid DP, String DP (Edit Distance, Palindromes), the Knapsack family, and State Machine patterns — all implemented in Python with worked examples.

4.90/5.0
11 hours
1 enrolled
Updated Apr 2026
Course Content ↓
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By CloudaQube Engineering

What You'll Learn

Master the 3 properties of DP: Overlapping Subproblems, Optimal Substructure, and State Transition
Convert any Top-Down recursive solution to Bottom-Up iterative tabulation
Solve complex 2D DP problems like Longest Common Subsequence and Unique Paths
Implement advanced DP techniques for String Matching and State Machines
Optimize space complexity from O(N^2) to O(N) using state compression

Prerequisites

  • Solid understanding of Recursion
  • Familiarity with Python lists and dictionaries

About the Instructor

C

CloudaQube Engineering

Expert instructor with hands-on industry experience in Interview Prep.

Included in paid plans

LevelAdvanced
Duration11 hours
Lessons
Students1
Rating4.90 / 5.0

This course includes

  • Hands-on practice labs
  • AI-powered explanations
  • Progress tracking
  • Certificate of completion
  • Lifetime access
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