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Dynamic Programming in Python: Optimizing Programs for Efficiency
Learn about dynamic programming in Python, delve into recursion basics, explore advanced DP techniques, and discover practical coding challenges to optimize algorithms for real-world applications.
4.7
47 Lessons
8h
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
1.
Chapter 1: From Recursion to Dynamic Programming
Chapter 1: From Recursion to Dynamic Programming
Get familiar with transitioning from recursion to dynamic programming and optimizing algorithms efficiently.
IntroductionWhat is Recursion?Thinking RecursivelyThe Fibonacci NumbersChallenge: Find All Permutations of a StringSolution Review: Find All Permutations of a StringChallenge: Place N Queens on an NxN ChessboardSolution Review: Place N Queens on an NxN ChessboardIs Plain Recursion Good Enough?What is Dynamic Programming?Approaches of Dynamic ProgrammingWhere to Use Dynamic ProgrammingQuiz
2.
Chapter 2: Top-Down Dynamic Programming with Memoization
Chapter 2: Top-Down Dynamic Programming with Memoization
Get started with efficient top-down dynamic programming using memoization techniques for optimization.
3.
Chapter 3: Bottom-Up Dynamic Programming with Tabulation
Chapter 3: Bottom-Up Dynamic Programming with Tabulation
10 Lessons
10 Lessons
Work your way through bottom-up dynamic programming, tabulation, optimization, and practical problem-solving.
4.
Chapter 4: Practice Problems
Chapter 4: Practice Problems
17 Lessons
17 Lessons
Apply your skills to solve diverse dynamic programming challenges efficiently and enhance problem-solving techniques.
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ABOUT THIS COURSE
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.
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