Mastering Dynamic Programming - How to solve any interview problem (Part 1)

🎬 Mastering Dynamic Programming: An Introduction 🎬 Are you ready to unravel the secrets of dynamic programming? 🤔 Dive into the world of efficient problem-solving with this comprehensive introduction to dynamic programming. Whether you're a budding programmer or an algorithm aficionado, this video is your gateway to understanding the magic behind DP. 🔑 Key Takeaways: 📌 Demystifying the concept of dynamic programming. 📌 Understanding the core principles behind dynamic programming. 📌 Unleashing the power of recursion and memoization. 📌 Step-by-step breakdown of dynamic programming problem-solving. Dynamic programming is like a puzzle-solving technique, and this video is your ultimate guide to fitting the pieces together. Get ready to elevate your coding skills and witness the art of optimization in action. 🚀 If you found this video helpful, don't forget to like, share, and subscribe for more tech tutorials! Checkout part 2: https://youtu.be/rE5h11FwiVw?si=MDtosiAGtFypcdXd 🌐 SiteGround: the hosting solution I like (affiliate link): https://www.siteground.com/index.htm?afcode=8260ed867c4f49ad77f397c6c58f9969 📖 Introduction to Algorithms, one of the key books about algorithms (affiliate link): https://www.amazon.com/Introduction-Algorithms-fourth-Thomas-Cormen/dp/026204630X?&_encoding=UTF8&tag=techwithnikol-20&linkCode=ur2&linkId=8ae9bee529670841f4d472d50872ef00&camp=1789&creative=9325 🔗 Connect with me: Support me on patreon: https://www.patreon.com/TechWithNikola Subscribe to my newsletter: https://blog.techwithnikola.com/ LinkedIn: https://www.linkedin.com/in/nikola-stojiljkovic-67a91931/ Join my discord: https://discord.gg/p9trmEVeaZ Visit my blog: https://techwithnikola.com Follow me on Instagram: https://www.instagram.com/techwithnikola Follow me on Twitter: https://twitter.com/techwithnikola Follow me on Medium: https://medium.com/@techwithnikola Timecodes 00:00 - Intro to DP 01:40 - Problem: Fibonacci 04:44 - Memoization 06:22 - Bottom-Up Approach 07:20 - Dependency order of subproblems 07:52 - Problem: Minimum Coins 13:39 - Problem: Coins - How Many Ways 15:22 - Problem: Maze 18:55 - Key Takeaways