Learn How to Code
  • Welcome
  • Foundations
    • Introduction
      • Becoming a web developer
      • Motivation and mindset
      • Join a supportive community
      • How does the web work?
    • Requirements
      • Prerequisites
      • Text editors
      • Command line basics
      • Setting up Git
      • Setting up Node
    • Git
      • Git basics
      • Project: Practicing Git
    • Frontend
      • HTML and CSS
      • Developer Tools
      • Project: Create a web page
    • JavaScript
      • Strings and Conditionals
      • Using Developer Tools
      • Functions
      • Problem solving
      • Project: Rock paper scissors
      • Writing clean code
      • Arrays and Loops
      • The DOM
      • Project: Etch-A-Sketch
      • Objects and More Arrays
      • Project: Calculator
    • Backend
      • Frameworks
    • Next steps
  • Deep dives
    • Computer Science
      • Pseudocode and algorithms
      • Recursion and algorithms
        • Project: Fibs and sorting
        • More on algorithms
        • Big O
        • Project: Practicing Big O
      • Data structures
        • Maps, Stacks and Queues
        • Project: Stacks and Queues
        • Nodes, Linked Lists and Trees
        • Project: Linked Lists
        • Project: Trees
        • Next steps
    • Databases
      • Databases and SQL
      • Project: SQL Zoo
    • Design / UX
      • Fonts and typography
      • Grids
      • Project: Teardown
      • Responsive design
      • Project: Mobile friendly
      • CSS frameworks
      • Project: Bootstrapping
    • HTML / CSS
      • HTML Basics
        • Linking
        • Images and media
        • Project: Embedding media
        • HTML5
        • Tables
        • Lists
        • Forms
        • Project: Make a form
      • CSS Basics
        • Box model
        • Floats and positioning
        • Flexbox
        • Grids
        • Project: Breaking news
        • Best practices
        • Backgrounds and gradients
        • Project: One more thing
        • CSS3
        • Preprocessors
        • Project: Your own framework
      • Next steps
    • JavaScript
      • Refresher
      • Organization
      • Objects and constructors
      • Project: Library
      • Factory functions and module patterns
      • Project: Tic Tac Toe
      • Classes
      • ES6 Modules
      • Project: Restaurant
      • Object Oriented Programming
      • Project: Todo list
      • Linting
      • Menus and sliders
      • Forms
      • ES6 features
      • JSON
      • Callbacks and promises
      • Using APIs
      • Async and Await
      • Project: Weather
      • Testing
      • Project: Testing 1-2-3
      • Advanced Testing
      • Project: Battleship
      • Backends
      • Project: Where's Waldo?
      • Project: All-Star
      • Next steps
    • NodeJS
      • Project: Going to school
      • Project: Passing the test
      • Express
        • Templates and middleware
        • CRUD and MVC
        • Project: Message board
        • Routes
        • Displaying data
        • Forms and deployment
        • Project: Inventory
      • Authentication
      • Security
      • Project: Clubhouse
      • APIs
      • Securing an API
      • Project: Blog
      • Testing
      • Testing with a database
      • Project: Social network
    • React
      • Props and State
      • Render lists and handle inputs
      • Project: CV
      • Lifecycle methods
      • Hooks
      • Project: Memory card
      • Router
      • Project: Shopping cart
      • Advanced concepts
    • Ruby
      • Installation
      • Data types
      • Variables
      • Input and Output
      • Conditionals
      • Loops
      • Arrays
      • Hashes
      • Methods
      • Enumerables
      • More enumerables
      • Nested collections
      • Blocks
      • Pattern matching
      • Debugging
      • Project: Caesar cipher
      • Project: Substrings
      • Project: Stock picker
      • Project: Bubble sort
      • Object oriented programming
      • Project: Tic Tac Toe
      • Project: Mastermind
      • Serialization
      • Project: Event manager
      • Project: Hangman
      • Computer Science
        • Recursion
        • Project: Merge Sort
        • Data structures and algorithms
        • Project: Linked Lists
        • Project: Binary Search Trees
        • Project: Knight Travails
      • Testing
      • RSpec
      • Project: Four in a row
      • Git
      • Project: Open Source
      • Project: Chess
      • Next steps
    • Ruby on Rails
      • Using Heroku
      • Installing Rails
      • Basics
        • Routing
        • Controllers
        • Views
        • Asset pipeline
        • Deployment
        • Project: Blog
      • Active Record
        • Project: Upvote
      • Forms
        • Cookies, sessions, and authentication
        • Project: Password
      • Advanced forms and Active Record
        • Associations
        • Project: Private Events
        • Callbacks
        • Menus, helpers and nested forms
        • Project: Ticket agent
      • APIs
        • External APIs
        • Project: Animals
        • Project: Photo widget
      • Mailers
        • Project: Confirmation
      • Advanced topics
        • Action Cable
      • Project: Social network
      • Next steps
  • Getting hired
    • Preparing to find a job
      • Plan a strategy
      • What companies want
      • Get yourself together
      • How to prepare
      • Project: Make your website
    • Applying and interviewing
      • Qualifying leads
      • Project: Make your resume
      • Applying for jobs
      • Preparing for an interview
      • Handling an offer
      • Final words
  • Maintained by
    • wbnns
  • License
    • CC BY-NC-SA 4.0 © 2022
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On this page
  • Introduction
  • Prerequisites
  • What is a data structure?
  • Assignment
  1. Deep dives
  2. Computer Science

Data structures

A data structure is simply an object or collection of objects that is designed to enable you to store, access and manipulate data.

Introduction

In the previous section, we discussed Big O and Algorithms; two tools that you may want to use in your quest to write quality, performant code. In this section, we put that to the side and we look at Data Structures, what they are and how they can be useful.

Prerequisites

If you're unsure of how to implement classes and objects in your chosen language, now is the time to brush up on that knowledge; because this section will be asking you to make use of it.

What is a data structure?

A data structure is simply an object or collection of objects that is designed to enable you to store, access and manipulate the data within it in a certain way. This can help access and modifications easy, enable the use of certain algorithms to tackle a specific problem or restrict how we interact with our data into very specific methods. Ruby, JavaScript and various other languages have some data structures built-in for you to make use of; but we will soon look into how we could implement them as educational examples.

You will have certainly already dealt with one data structure already... The Array. Arrays can conceptually be thought of a line of boxes, and you can insert, look at, change and remove these boxes. In our next lesson, we'll be looking at data structures similar to arrays, but at the same time rather different.

Assignment

Have a look back at previous code you have written outside of this course. Have there been other ways you've stored data other than simply arrays?

PreviousProject: Practicing Big ONextMaps, Stacks and Queues

Last updated 4 years ago