Mastering Dynamic Programming in Python: Solve 'Count All Possible Routes' Step by Step | 1575

Welcome back to vanAmsen's coding channel! In this video, we are unraveling a complex problem from LeetCode: 'Count All Possible Routes'. The problem is a real brain-teaser where you're given an array of distinct positive integers representing different city locations, a starting point, an ending point, and a certain amount of fuel. Your task is to count all the possible routes you can take from the starting city to the ending city, considering the amount of fuel you have. Join us as we dive deep into the world of dynamic programming and Python to solve this problem.

The approach we are taking in this video uses dynamic programming in Python. We explain how to create a 2D dynamic programming table to keep track of the number of possible routes from each city with a certain amount of fuel left. We go through the process step by step, from understanding the problem, designing our approach, to implementing the code and explaining the logic behind each step.

Don't miss out on this deep dive into a practical coding problem. This is not just a video that shows you the solution, but it's an in-depth tutorial that helps you understand the nuances of dynamic programming and Python programming. So, whether you're preparing for a coding interview or just want to improve your problem-solving skills, this video is a great resource.

[vanamsen]

Enjoyed the video? 🎥 Share your thoughts and challenges below! 👇 Got a coding problem you'd like to see solved? Let me know! 💡 Happy coding! 🚀👩‍💻👨‍💻