Advanced Dynamic Programming
What you’ll learn
- Deal with intresting and hard-to-solve exercises
- Develop problem solving mindset
- Solve real-life problems
- Learn some good practices
- Define the correct sub-problems
- Develop python coding skills
Dynamic programming is by far a very useful technique, but sometimes it can be difficult to be implemented correctly.
In this course I’m going to show you the methodology that I use, to solve easily any DP problem!
You are going to deal with some hard-to-solve exercises. So this is not a course for beginners, but for those who are more familiar with dynamic programming.
Take your time in every exercise, there is no reason to hurry up.
You should know that all these exercises are created by myself. I tried to cover many fields (included cases from real-life problems).
All solutions are implemented in Python. I think it’s one of the easiest programming languages to implement DP algorithms and deal easily with data structures (1D-Lists, 2D-Lists, Tuples etc).
Of course you can implement DP algorithms in any programming language of wide use.
There is no reason to skip an exercise, if you think it’s difficult enough for you. Probably the next one will be harder.
The concepts that we will cover are:
find the minimum / maximum value
find the best path which minimizes / maximizes a value
discover a subset that minimizes / maximizes a value
I hope you enjoy this course!
Who this course is for:
- Computer Science Students
- Software Developers
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