Technology

Science and Nature

Introduction to Algorithms & Data Structures

Learn Linear Data Structures with Videos & Interview QuestionsBy Bolakale Aremu, Charles Johnson Jr.

Listen with Sir Michael Caine™ and 1,000+ voices

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Length3h 30m

About this audiobook

This playbook is the third volume of the series Introduction to Algorithms & Data Structures. It is a very comprehensive data structures and algorithms book. It is packed withtext tutorials with a lot of illustrations5 hours of HD video tutorials (updated regularly),popular interview questions asked by Google, Microsoft, Amazon and other big companies,hands-on lessons, practice exercises and solutions,codes written during the course andscreenshots used in this book.Most data structure books and courses are too academic and boring. They have too much math and their codes look ugly, old and disgusting! This book is bundled with tutorial videos that are fun and easy to follow along, and show you how to write beautiful code like a software engineer, not a mathematician. Mastering data structures and algorithms is essential to getting your dream job. So, don't waste your time browsing disconnected tutorials or super long, boring courses.If you failed a job interview because you couldn't answer basic data structure and algorithm questions, just study this book and its accompanying videos. Understanding data structures and algorithms is crucial to excel as a software engineer. That’s why companies like Google, Microsoft and Amazon, always include interview questions on data structures and algorithms.I will teach you everything you need to know about data structures and algorithms so you can ace your coding interview with confidence. This course is a perfect mix of theory and practice, packed with popular interview questions.Another benefit is that data structures and algorithms will make you think more logically. They can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving.As a result, the concepts of algorithms and data structures are very valuable in any field. For example, you can use them when building a web app or writing software for other devices. You can apply them to machine learning and data analytics, which are two hot areas right now. If you are a hacker, algorithms and data structures are also important for you everywhere.Whatever your preferred learning style, I've got you covered. If you're a visual learner, you'll love my HD videos, and illustrations throughout this book. If you're a practical learner, you'll love my hands-on lessons and practice exercises so that you can get practical with algorithms and data structures and learn in a hands-on way.

Audiobook details

GenreTechnology, Science and Nature

Length3 hrs 30 mins

Narrated byListen with 1,000+ voices

FormateBook with Audio

Publish dateSep 2, 2023

LanguageEnglish

10. What You Get

20.1. Requirements

30.2. Benefits of Learning Algorithms and Data Structures

40.3. How This Course is Structured

51. Introduction to Linear Data Structures

Mostrar todos os capítulos

61.1. What is an Algorithm?

71.2. What is Data Structure?

82. The Big O Notation

92.1. What is Big O? – 00:00 min.

102.2. O(1) – 01:59 min.

112.3. O(n) – 03:28 min.

122.4. O(n2) – 07:13 min.

132.5. O(log n) – 09:37 min.

142.6. O(2n) – 12:16 min.

152.7. Space Complexity – 13:07 min.

163. Arrays

173.1. Introduction – 00:00 min.

183.2. Arrays – 00:45 min.

193.2.1. How an Array Stores Items

203.2.2. Limitations/Weaknesses of Arrays

213.3. Working with Arrays – 03:53 min.

223.4. Exercise 1: Building an Array – 07:23 min.

233.5. Solution 1: Building the Array – 10:15 min.

243.5.1. Public Class

253.5.2. Private Class

263.6. Solution 2: Insert Method – 13:34 min.

273.7. Solution 3: Remove Method – 17:54 min.: 3.7.1. Validation of Index

283.8. Solution 4: Search (IndexOf) Method – 22:45 min.

293.9. Dynamic Arrays – 25:13 min.: 3.9.1. Overview of the Vector Class

303.10. Wrap up – 29:02 min.: 3.10.1. Runtime Complexities of Various Operations

314. Linked Lists

324.1. Introduction – 00:00 min.

334.2. What Are Linked Lists? – 00:37 min.

344.3. Working with Linked Lists – 05:10 min.

354.4. Exercise 2: Building a Linked List – 08:34 min.

364.5. Solution: Building a Linked List – 09:59 min.

374.6. Implementing Size – 30:27 min.

384.7. Converting Linked Lists to Arrays – 34:42 min.

394.8. Cheat Sheets – 36:53 min.

404.9. Arrays vs Linked Lists – 38:05 min.

414.10. Types of Linked Lists – 41:26 min.

424.11. Exercise 3: Reversing a Linked List – 44:41 min.

434.12. Solution: Reversing a Linked List – 46:14 min.

444.13. Exercise 4: Kth Node from the End – 55:15 min.

454.14. Solution: Kth Node from the End – 58:35 min.

464.15. Wrap up – 1:03:57 min.

475. Stacks

485.1. Introduction – 00:00 min.

495.2. What are Stacks? – 00:32 min.

505.2.1. Structure of Stacks

Series

Introduction to Algorithms & Data StructuresBook 3

Introduction to Algorithms and Data StructuresBook 3

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