Grokking Dynamic Programming: A Deep Dive Using Python
INTERACTIVE COURSE

Grokking Dynamic Programming: A Deep Dive Using Python

Intermediate

53 Lessons

25h

Certificate of Completion

Grokking Dynamic Programming: A Deep Dive Using Python
133 Playgrounds
44 Challenges
868 Illustrations

Takeaway Skills

A deep understanding of the essential patterns behind common dynamic programming interview questions—without having to drill endless problem sets

The ability to identify and apply the underlying pattern in an interview question by assessing the problem statement

Familiarity with dynamic programming techniques with hands-on practice in a setup-free coding environment

The ability to efficiently evaluate the tradeoffs between time and space complexity in different solutions

A flexible conceptual framework for solving any dynamic programming question, by connecting problem characteristics and possible solution techniques

Course Overview

Some of the toughest questions in technical interviews require dynamic programming solutions. Dynamic programming (DP) is an advanced optimization technique applied to recursive solutions. However, DP is not a one-size-fits-all technique, and it requires practice to...Show More

Course Content

1

Getting Started

3 Lessons

2

0/1 Knapsack

9 Lessons

Show all 9 lessons
3

Unbounded Knapsack

6 Lessons

4

Recursive Numbers

12 Lessons

5

Longest Common Substring

16 Lessons

6

Palindromic Subsequence

6 Lessons

7

Conclusion

1 Lesson

COURSE AUTHOR

How You'll Learn

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