Udemy – Dynamic programming 2021-10

Dynamic programming, Dynamic programming is one of the most important and powerful algorithmic techniques that can be used to solve a lot of computational problems, it’s a fundamental technique to learn to strengthen your algorithms and problem solving skills But, a lot of students find hard times understanding dynamic programming and being able to apply it to solve problems, if you are in this situation, this course is made for you!

Why you should take this course: Covers all what you need to know to start using dynamic programming to solve problems (introduction, recursion, how to recognize a dynamic programming problem, memoization, tabulation…) Shows you a technique to solve almost any dynamic programming problem, Explains the time and space complexity analysis of each solved problem, Includes 20 different interesting dynamic programming problems to practice on with the ability to test your Python solution on different test cases before watching the solution

What you’ll learn

• Importance of dynamic programming
• How to use the top-down approach of dynamic programming (memoization)
• How to use the bottom-up approach of dynamic programming (tabulation)
• How to solve almost any dynamic programming problem

Who this course is for

• Computer science students
• Software engineering students
• Programmers
• Competitive programmers

Specificatoin of Dynamic programming

• Publisher : Udemy
• Teacher : Inside Code
• Language : English
• Level : Intermediate
• Number of Course : 49
• Duration : 6 hours and 4 minutes

Content of Dynamic programming

Requirements

• Programming basics
• Algorithms and data structures basics

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 73 MB

File size

1.07 GB