Introduction to Algorithms & Data Structures

Introduction to Algorithms & Data Structures

A solid foundation for the real world of machine learning and data analyticsBy Bolakale Aremu, Ojula Technology Innovations
Michael Caine
Listen with Sir Michael Caine™ and 1,000+ voices
Length1h 2m

About this audiobook

Learning algorithms and data structures from this book will help you become a better programmer. Algorithms and data structures will make you think more logically. Furthermore, 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 in Python are also important for you everywhere. Now, whatever your preferred learning style, I've got you covered. If you're a visual learner, you'll love my clear diagrams and illustrations throughout this book. If you're a practical learner, you'll love my hands-on lessons so that you can get practical with algorithms and data structures and learn in a hands-on way. Course Structure This book is the first volume of the series Introduction to Algorithms & Data Structures. In this volume, you'll take a deep dive into the world of algorithms. With increasing frequency, algorithms are starting to shape our lives in many ways - from the products recommended to us, to the friends we interact with on social media, to even important social issues like policing, privacy and healthcare. So, the first part of this course covers what algorithms are, how they work, and where they can be found (real life applications). In the second volume, you'll work through an introduction to data structures. You're going to learn about two introductory data structures - arrays and linked lists. You'll look at common operations and how the runtimes of these operations affect our everyday code. The third volume is packed with hours of HD tutorial videos, practice exercises, sample codes, and popular interview questions asked by Google, Microsoft, Amazon and other big companies. So, in the third volume, you'll master data structures and algorithms which are essential to getting your dream job. Don't waste your time browsing disconnected tutorials or super long, boring courses. In this volume, we will look at algorithms in two categories: sorting and searching. You'll implement well-known sorting algorithms like Selection Sort, Quicksort, and Merge Sort. You'll also learn basic search algorithms like Sequential Search and Binary Search. At the end of many sections of this course, short practice exercises are provided to test your understanding of the topic discussed. Answers are also provided so you can check how well you have performed in each section. At the end of the course, assessment tests are provided. You will also find links to download more helpful resources such as codes and screenshots used in this book, and more practice exercises. You can use them for quick references and revision as well. My support link is also provided so you to contact me any time if you have questions or need further help. By the end of this course, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve real-life problems. So, everything you need is right here in this course. I really hope you'll enjoy it. Are you ready? Let's dive in!

Audiobook details

GenreTechnology, Science and Nature
Length1 hr 2 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJun 1, 2023
LanguageEnglish

Table of contents

10. What You Will Learn in Volume 2
20.1. Benefits of learning about algorithms and data structures
30.2. Course Structure
42. Introduction to Data Structures
52.1. Course Overview
Show all chapters
62.2. Exploring Arrays
72.2.1. Array Basics
82.2.2. Accessing a Value in an Array
92.2.3. Practice Exercise 1
102.2.4. Answers to Practice Exercise 1
112.2.5. Array Search, Insert and Delete
122.2.6. Practice Exercise 2
132.2.7. Answers to Practice Exercise 2
142.3. Building a Linked List
152.3.1. What Is a Linked List?
162.3.2. Adding Nodes to a Linked List
172.3.3. Bonus Algorithm Code
182.4. Circularly Linked lists
192.4.1. Representation
202.4.2. Advantages of circularly linked lists over singly linked lists
212.5. Doubly Linked Lists
222.5.1. Representation of a doubly linked list
232.5.2. Advantages of a Doubly Linked List
242.5.3. Disadvantages of a Doubly Linked List
252.5.4. Multiply Linked List
262.5.5. Unrolled Linked List
272.6. Download Training Resources

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