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Dynamic Programming 101

Master the art of solving complex problems efficiently. Boost your problem-solving skills for coding interviews with easy-to-follow lessons and hands-on challenges.

15 Lessons

11 Challenges

Prerequisites

Knowledge in Python

Introduction to DP

What is dynamic programming?

Why is it important?

Applications in various fields

Basic concepts

Memoization

Memoization without Recursion

Dynamic programming algorithms

Longest common subsequence

Knapsack problem

Coin change problem

Edit distance

Advanced topics

min_subarray_len

Pruning

Space optimization

Bit masking

Conclusion

Recap of key concepts

Summary