Udemy - Data Structures and Algorithms - From Zero to Hero

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Udemy - Data Structures and Algorithms - From Zero to Hero (Size: 257.8 MB)
  1. Introduction.mp4 5.8 MB
  10. Understanding Singly Linked Lists.mp4 20.5 MB
  11. Learn About Sorted Linked Lists & Sorting With Linked Lists.mp4 20.3 MB
  12. Understanding Doubly Linked Lists.mp4 9.1 MB
  2. Understanding Big O Notation & Typical Runtime Functions.mp4 37.7 MB
  3. Learn About Comparing Runtime Functions & P And NP.mp4 36 MB
  4. Learn About Random Numbers & Linear Congruential Generators.mp4 24.3 MB
  5. Understanding Randomizing Arrays.mp4 19.9 MB
  6. Understanding GCD & LCM.mp4 17.7 MB
  7. Understanding Prime Factorization.mp4 17.2 MB
  8. Learn About Finding Primes & Testing Primality.mp4 28.9 MB
  9. Understanding Numerical Integration.mp4 20.5 MB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B

Description


Data Structures and Algorithms: From Zero to Hero
https://CourseHulu.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 257 MB | Duration: 1h 25m
Learn how to solve modern computing problems with data structures and algorithms.
What you'll learn
Learning Numerical Algorithms
Learning Big O Notation
Learning Linked Lists
Learning Arrays
Learning Stacks and Queues

Description
Data structures allow organizing data efficiently. With the knowledge of data structures and algorithms at your fingertips, you can write efficient computer programs to solve real-world problems. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. This course teaches you the essential data structures and the most common algorithms for building easy and maintainable applications.

At the beginning, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the lectures, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the following part of the course, the more complex data structures will be introduced, namely trees and graphs, together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize the code in a manageable, consistent, and extendable way. By the end of this course, you will have gained exceptional knowledge of data structure and algorithms and will have developed skills to apply in the real world.

Who this course is for:
Web Developers
Software Developers
Programmers
Anyone interested in Data Structures & Algorithms

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