Dynamic Programming in Python

Unlock the power of dynamic programming (DP) with this comprehensive course dedicated solely to this magical technique that turns complex problems into a series of simpler ones. Designed for Python enthusiasts, this course unravels the mysteries of DP using Python's intuitive syntax and extensive libraries, making your learning experience both productive and engaging.

Course Curriculum

Section 1. Dynamic Programming in Python

1. LESSON

Introduction to Dynamic Programming

What is Dynamic Programming? Dynamic Programming (DP) is an algorithmic technique used to solve optimization problems by breaking them down into overlapping subproblems and efficiently storing and reusing the solutions to these subproblems. It provides an effective and elegant approach to solving problems that have an inherent recursive struct...

2. LESSON

Fibonacci Series

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3. LESSON

Longest Common Subsequence

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4. LESSON

0/1 Knapsack Problem

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5. LESSON

Matrix Chain Multiplication

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