Compiled list of Dynamic Programming Leetcode questions to Ace your Next Interview
What you will learn
6 Step Dynamic Programming Framework to solve any DP problem
Gradually build from recursive (top down) approach to tabulation (bottom up)
Enhance problem-solving skills by tackling a diverse range of dynamic programming problems
Prepare for coding interviews, particularly those conducted by leading tech companies
Description
Embark on a journey into one of the most renowned and challenging realms of programming with our dynamic programming course. Despite its reputation for complexity, we are dedicated to demystifying dynamic programming, delving deep into its foundational principles.
The course commences by introducing and defining dynamic programming, unveiling two widely utilized techniques: memoization and tabulation. We thoroughly explore their distinctions, guiding you on when and where to deploy each method effectively.
Moving beyond theory, we tackle renowned dynamic programming problems, providing detailed problem statements and conducting illustrative walkthroughs. Notably, dynamic programming plays a significant role in tech giant interviews, and our course meticulously compiles essential problems crucial for establishing a robust DP foundation. We will learn how top apply 6 step DP framework to solve any DPÂ problem:
1. Category
2. States
3. Decisions
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4. Base Case
5. Code
6. Optimize (Time or Space Complexity)
We will solve problems from 5 different categories:
- 0/1 Knapsack
- Unbounded Knapsack
- Shortest/Critical Path
- Fibonacci Sequence
- Longest Common Substring/Subsequence
This will be series of free course exploring different problems from DPÂ Leetcode Category. Every students that joins is free to use our platform containing 200 problems in 4 different programming languages split by company/category with deep dive videos. Link for it can be found as external resource inside each lecture.
