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Dynamic Programming in Python: Optimizing Programs for Efficiency

Dynamic Programming in Python: Optimizing Programs for Efficiency

Intermediate

47 Lessons

8h

Certificate of Completion

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Explanations

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This course includes

57 Playgrounds
16 Challenges

This course includes

57 Playgrounds
16 Challenges
Course Overview
Course Content

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

1.

Chapter 1: From Recursion to Dynamic Programming

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 Programming
Where to Use Dynamic ProgrammingQuiz
2.

Chapter 2: Top-Down Dynamic Programming with Memoization

What is Memoization?The Fibonacci Numbers Algorithm with MemoizationChallenge: The Staircase ProblemSolution Review: The Staircase ProblemChallenge 2: The Knapsack ProblemSolution Review: The Knapsack ProblemQuiz
3.

Chapter 3: Bottom-Up Dynamic Programming with Tabulation

Limitations of Top-Down Dynamic ProgrammingWhat is Tabulation?The Fibonacci Numbers Algorithm with TabulationOptimizing the Fibonacci Numbers AlgorithmChallenge: The Catalan NumbersSolution Review: The Catalan NumbersChallenge 2: Longest Common SubstringSolution Review: Longest Common SubstringTop-Down vs Bottom-UpQuiz
4.

Chapter 4: Practice Problems

Challenge: Number of Ways to Represent N DollarsSolution Review: Number of Ways to Represent N Dollars
Challenge: The Rod Cutting Problem
Solution Review: The Rod Cutting ProblemChallenge: Weighted Scheduling ProblemSolution Review: Weighted Scheduling ProblemChallenge: The Matrix Chain MultiplicationSolution Review: The Matrix Chain MultiplicationChallenge: The Traveling Salesman ProblemSolution Review: The Traveling Salesman ProblemChallenge: Longest Common SubsequenceSolution Review: Longest Common SubsequenceChallenge: Longest Palindromic SubsequenceSolution Review: Longest Palindromic SubsequenceChallenge: The Edit Distance ProblemSolution Review: The Edit Distance ProblemConclusion

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