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Dynamic Programming 1D - Full Course - Python

Learners: 123,580

Instructor: NeetCode

Duration:

This course is perfect for anyone looking to learn the fundamentals of dynamic programming in Python. It covers the basics of dynamic programming, including 1D problems, and provides a comprehensive overview of the subject. With this course, you will gain a deep understanding of the principles of dynamic programming and be able to apply them to solve real-world problems. The course is designed to be easy to follow and includes plenty of examples and exercises to help you understand the concepts. So, if you're ready to take your programming skills to the next level, this course is for you!▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

No Information

Language:

English

Start Date:

2022-09-13 00:00:00

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

This course provides an introduction to the fundamentals of dynamic programming in Python. It covers the basics of dynamic programming, including the Bellman equation, the value iteration algorithm, and the policy iteration algorithm. It also covers the application of dynamic programming to solve problems in 1D, such as the knapsack problem, the rod cutting problem, and the longest common subsequence problem. The course includes hands-on exercises to help students gain a better understanding of the concepts. By the end of the course, students will have a solid understanding of dynamic programming and its application to 1D problems.