Dynamic Programming in Python: Optimizing Programs for Efficiency

Dynamic Programming in Python: Optimizing Programs for Efficiency

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.

Intermediate

47 Lessons

8h

Certificate of Completion

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.

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Explanations

AI-POWERED

Explanations

This course includes

57 Playgrounds
16 Challenges

This course includes

57 Playgrounds
16 Challenges

Course Overview

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...Show More

Course Content

2.

Chapter 2: Top-Down Dynamic Programming with Memoization

Get started with efficient top-down dynamic programming using memoization techniques for optimization.

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Souvik Kundu

Front-end Developer

Eric Downs

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Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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