Gain insights into dynamic programming, explore recursion basics, and delve into advanced techniques like Bottom-Up optimization. Discover ways to solve complex problems more efficiently with hands-on coding challenges.

Dynamic programming is something every developer should have in their toolkit. It allows you to optimize your algorithm with respect to time and space — a very important concept in real-world applications.

In this course, you’ll start by learning the basics of recursion and work your way to more advanced DP concepts like Bottom-Up optimization. Throughout this course, you will learn various types of DP techniques for solving even the most complex problems. Each section is complete with coding challenges of varying difficulty so you can practice a wide range of problems.

By the time you’ve completed this course, you will be able to utilize dynamic programming in your own projects.

Dynamic Programming in Python: Optimizing Programs for Efficiency

We at Educative hope that this course was a good learning experience for you. Thank you for sticking through to the end!


# What's next?

If you liked this course, be sure to check out our other courses.

- [Algorithms in C++](https://www.educative.io/courses/algorithms-in-cpp-an-interview-refresher)
- [Grokking the Coding Interview](https://www.educative.io/courses/grokking-the-coding-interview)

# Feedback

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That's a wrap! This lesson concludes this course with some suggestions for other courses.

Chapter 1: From Recursion to Dynamic Programming

Chapter 2: Top-Down Dynamic Programming with Memoization

Chapter 3: Bottom-Up Dynamic Programming with Tabulation

Chapter 4: Practice Problems

Conclusion