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      • Hash Table Search
      • Linear Search Algorithm
      • Sentinel Linear Search Algorithm
      • Binary Search Algorithm
      • Meta Binary Search/One-sided Binary Search
      • Ternary Search Algorithm
      • Jump Search Algorithm
      • Interpolation Search
      • Exponential Search Algorithm
      • Fibonacci Search Algorithm
      • The Ubiquitous Binary Search Algorithm
    • Sorting
      • Bubble Sort Algorithm
      • Selection Sort Algorithm
      • Insertion Sort Algorithm
      • Merge Sort Algorithm
      • Quick Sort Algorithm
      • Heap Sort Algorithm
      • Counting Sort Algorithm
      • Radix Sort Algorithm
      • Bucket Sort Algorithm
      • Bingo Sort Algorithm
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      • TimSort Algorithm
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      • Pigeonhole Sort Algorithm
      • Cycle Sort Algorithm
      • Cocktail Sort Algorithm
      • Strand Sort Algorithm
      • Bitonic Sort Algorithm
      • Pancake Sort Algorithm
      • Permutation Sort Algorithm
      • Gnome Sort Algorithm
      • Sleep Sort Algorithm
      • Stooge Sort Algorithm
      • Tag Sort Algorithm
      • Tree Sort Algorithm
      • Odd-Even Sort / Brick Sort Algorithm
      • 3-way Merge Sort Algorithm
    • Bitwise
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    • Backtracking
    • Comparison
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    • Dynamic Programming
    • Online Course
      • Chapter 1. Introduction to Algorithms
        • 1.1 Overview of Algorithms
        • 1.2 Asymptotic Notation and Big-O Complexity
        • 1.3 Common Algorithms and Data Structures
      • Chapter 2. Data Structures
        • 2.1 Arrays
          • 2.1.0 Arrays Data Structure Overview
          • 2.1.1 Array Data Structure Implementation
          • 2.1.2 Array Data Structure Time & Space Complexity
          • 2.1.3 Array Data Structure Manipulation
        • 2.2 Linked Lists
          • 2.2.0 Linked List Structure Overview
          • 2.2.1 Linked List Data Structure Implementation
          • 2.2.2 Linked List Data Structure Time & Space Complexity
          • 2.2.3 Linked List Structure Manipulation
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          • 2.3.1 Stacks Data Structure Implementation
          • 2.3.2 Stacks Data Structure Time & Space Complexity
          • 2.3.3 Stacks Structure Manipulation
        • 2.6 Graphs
        • 2.5 Trees
        • 2.4 Queues
      • Chapter 3. Sorting Algorithms
      • Chapter 4. Searching Algorithms
      • Chapter 5. Graph Algorithms
      • Chapter 6. Dynamic Programming
      • Chapter 7. Greedy Algorithms
      • Chapter 8. Backtracking
      • Chapter 9. String Algorithms
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      • Is AI a threat?
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    • Data Science vs. Data Analytics
    • Data Science Or Software Engineering
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      • Conda new env
      • Conda Switch Env
      • Conda Upgrade
      • Conda Duplicate Environment
    • Statistics
      • The Empirical Rule
      • Z Test
      • Statistics Definition Math
      • Probability versus Likelihood
      • Statistics Expected Value
      • Statistics Linear Regression
      • Statistics Question Example
      • Statistics Sampling Methods
      • Statistics Math Examples
    • Entry Level
  • Functional
    • First-Class Functions
    • What is Functional Programming?
    • Functional versus object oriented programming
  • Refactoring
    • Simplifying If Statements
  • System Design
    • Web Applications and Software Architecture
      • Single Tier Web Application
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  • some-most-common-rust-data-structures-and-concepts-from-standard-library
  • Series
    • SOLID Principles
      • Episodes
        • Single Responsibility Principle
        • Open Closed Principle
        • Liskov Substitution Principle
        • Interface Segregation Principle
        • Dependency Inversion
    • Laravel From The Ground Up
      • Episodes
        • Install Php, Composer, & MySQL
        • The Laravel Installer
        • Laravel Valet
        • Install Laravel on Windows
        • Routes & Views The Basics
        • Request Data ~ Ya Mustache It Into Your Views
        • Route Parameters: Required, Optional, & Constraints
        • Route::view(), fallback, redirect, & redirectPermanent
        • Laravel Controllers (Simple to resourceful)
        • Database Connection + User Interface
        • Laravel Eloquent Models (Query Builder)
        • Migrations (Database Basics)
        • Factories & Seeders (Seed DB with faker data)
        • Laravel Blade Layouts
        • Integrate HTML Theme Into Laravel Blade
        • Laravel Blade ForEach (Posts Index & Show CRUD Pages)
        • Better than Laravel Blade ForEach? (Plus Blade's $loop variable)
        • Laravel Mix (Building The Front-end)
    • PHP Magic Methods
      • Episodes
        • PHP magic __construct method
        • PHP magic __destruct method
        • PHP magic __call method
        • PHP magic __callStatic method
        • PHP magic __invoke method
        • PHP __get and __set magic methods
        • PHP __isset magic method
    • Object Oriented Programming
      • Episodes
        • Classes
        • Objects & Static Methods
        • Inheritance
        • Abstract Classes
        • Interfaces
        • Encapsulation
    • Object Oriented PHP
      • Episodes
        • PHP Classes
        • PHP Objects and Static Methods
        • PHP Inheritance
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    • Home
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      • Browse
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      • Programming and Coding
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      • Software Workflow
      • Software Intern
      • Software Languages
      • Software Maintenance
      • Is Software Engineering Computer Science?
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      • Why Rust
      • Rust's Memory Management Revolution
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      • Getting Started with Rust
      • Rust's Borrowing Mechanism
    • Deno vs. Node
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      • Algorithms in Python
        • Python Bubble Sort Algorithm
        • Python Insertion Sort Algorithm
        • Python Selection Sort Algorithm
        • Python Merge Sort Algorithm
        • Python Quick Sort Algorithm
        • Python Linear Search Algorithm
        • Python Binary Search Algorithm
        • Python Depth First Search Algorithm
        • Python Breadth First Search Algorithm
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        • Python Single Responsibility Design Pattern
        • Python Open Closed Principle Design Pattern
        • Python Liskov Substitution Design Pattern
      • Where Python is Used
      • What Python Version Do I Have?
      • Python or Java
      • Are Python Lists Ordered?
      • Are Python Sets Ordered?
      • Are Python Strings Mutable
      • Python Neural Network
      • Online Course
        • Chapter 1. Introduction to Python
    • Design Patterns
      • Single Responsibility Design Pattern
      • Open Closed Design Pattern
      • Liskov's Substitution Design Pattern
      • Interface Segregation Design Pattern
      • Dependency Inversion Design Pattern
      • Factory Method Design Pattern
      • Command Design Pattern
      • Decorator Design Pattern
      • Singleton Design Pattern
      • Observer Design Pattern
      • Template Method Design Pattern
      • Chain of Responsibility Design Pattern
      • Dependency Injection Design Pattern
    • Data Structures
      • Strings
      • Binary Tree
      • Linked List
      • Arrays
      • Linked Lists
      • Stacks
      • Queues
      • Trees
      • Graphs
      • Hash Tables
      • Tries
      • Heaps
      • Sets
      • Maps
      • Vectors
      • Matrices
      • Bloom Filters
      • Skip Lists
    • Algorithms
      • Mastering Binary Search
      • Pattern Matching
      • Divide & Conquer
      • Searching
        • Hash Table Search
        • Linear Search Algorithm
        • Sentinel Linear Search Algorithm
        • Binary Search Algorithm
        • Meta Binary Search/One-sided Binary Search
        • Ternary Search Algorithm
        • Jump Search Algorithm
        • Interpolation Search
        • Exponential Search Algorithm
        • Fibonacci Search Algorithm
        • The Ubiquitous Binary Search Algorithm
      • Sorting
        • Bubble Sort Algorithm
        • Selection Sort Algorithm
        • Insertion Sort Algorithm
        • Merge Sort Algorithm
        • Quick Sort Algorithm
        • Heap Sort Algorithm
        • Counting Sort Algorithm
        • Radix Sort Algorithm
        • Bucket Sort Algorithm
        • Bingo Sort Algorithm
        • Shell Sort Algorithm
        • TimSort Algorithm
        • Comb Sort Algorithm
        • Pigeonhole Sort Algorithm
        • Cycle Sort Algorithm
        • Cocktail Sort Algorithm
        • Strand Sort Algorithm
        • Bitonic Sort Algorithm
        • Pancake Sort Algorithm
        • Permutation Sort Algorithm
        • Gnome Sort Algorithm
        • Sleep Sort Algorithm
        • Stooge Sort Algorithm
        • Tag Sort Algorithm
        • Tree Sort Algorithm
        • Odd-Even Sort / Brick Sort Algorithm
        • 3-way Merge Sort Algorithm
      • Bitwise
      • Greedy
      • Recursion
      • Backtracking
      • Comparison
      • Mathematical
      • Dynamic Programming
      • Online Course
        • Chapter 1. Introduction to Algorithms
          • 1.1 Overview of Algorithms
          • 1.2 Asymptotic Notation and Big-O Complexity
          • 1.3 Common Algorithms and Data Structures
        • Chapter 2. Data Structures
          • 2.1 Arrays
            • 2.1.0 Arrays Data Structure Overview
            • 2.1.1 Array Data Structure Implementation
            • 2.1.2 Array Data Structure Time & Space Complexity
            • 2.1.3 Array Data Structure Manipulation
          • 2.2 Linked Lists
            • 2.2.0 Linked List Structure Overview
            • 2.2.1 Linked List Data Structure Implementation
            • 2.2.2 Linked List Data Structure Time & Space Complexity
            • 2.2.3 Linked List Structure Manipulation
          • 2.3 Stacks
            • 2.3.0 Stack Data Structure Overview
            • 2.3.1 Stacks Data Structure Implementation
            • 2.3.2 Stacks Data Structure Time & Space Complexity
            • 2.3.3 Stacks Structure Manipulation
          • 2.6 Graphs
          • 2.5 Trees
          • 2.4 Queues
        • Chapter 3. Sorting Algorithms
        • Chapter 4. Searching Algorithms
        • Chapter 5. Graph Algorithms
        • Chapter 6. Dynamic Programming
        • Chapter 7. Greedy Algorithms
        • Chapter 8. Backtracking
        • Chapter 9. String Algorithms
        • Chapter 10. Advanced Topics
        • Chapter 11. Practice Problems and Coding Exercises
        • Chapter 12. Final Project
      • heuristics
    • Data Science
      • Neural Networks
      • Machine Learning
      • Artificial Intelligence
        • Is AI a threat?
      • The Singularity
      • Online Course
      • Learning
      • What Data Science Does
      • Data Science Undergraduate
      • Data Science Algorithms
      • Data Science vs. Data Analytics
      • Data Science Or Software Engineering
      • Conda
        • Conda Update Package
        • Conda new env
        • Conda Switch Env
        • Conda Upgrade
        • Conda Duplicate Environment
      • Statistics
        • The Empirical Rule
        • Z Test
        • Statistics Definition Math
        • Probability versus Likelihood
        • Statistics Expected Value
        • Statistics Linear Regression
        • Statistics Question Example
        • Statistics Sampling Methods
        • Statistics Math Examples
      • Entry Level
    • Functional
      • First-Class Functions
      • What is Functional Programming?
      • Functional versus object oriented programming
    • Refactoring
      • Simplifying If Statements
    • System Design
      • Web Applications and Software Architecture
        • Single Tier Web Application
    • Blockchains
      • Crypto Apis
      • Bitcoin
      • Ethereum
      • Cardano
        • Unspent Transaction Output
      • Ripple
    • Notes
      • Vue Notes
      • Cloud Notes
        • AWS Notes
      • Business Notes
        • Marketing
          • SEO
      • FAANG Interview Notes
      • Laravel Notes
      • Google Interview Study Materials
    • some-most-common-rust-data-structures-and-concepts-from-standard-library
    • Series
      • SOLID Principles
        • Episodes
          • Single Responsibility Principle
          • Open Closed Principle
          • Liskov Substitution Principle
          • Interface Segregation Principle
          • Dependency Inversion
      • Laravel From The Ground Up
        • Episodes
          • Install Php, Composer, & MySQL
          • The Laravel Installer
          • Laravel Valet
          • Install Laravel on Windows
          • Routes & Views The Basics
          • Request Data ~ Ya Mustache It Into Your Views
          • Route Parameters: Required, Optional, & Constraints
          • Route::view(), fallback, redirect, & redirectPermanent
          • Laravel Controllers (Simple to resourceful)
          • Database Connection + User Interface
          • Laravel Eloquent Models (Query Builder)
          • Migrations (Database Basics)
          • Factories & Seeders (Seed DB with faker data)
          • Laravel Blade Layouts
          • Integrate HTML Theme Into Laravel Blade
          • Laravel Blade ForEach (Posts Index & Show CRUD Pages)
          • Better than Laravel Blade ForEach? (Plus Blade's $loop variable)
          • Laravel Mix (Building The Front-end)
      • PHP Magic Methods
        • Episodes
          • PHP magic __construct method
          • PHP magic __destruct method
          • PHP magic __call method
          • PHP magic __callStatic method
          • PHP magic __invoke method
          • PHP __get and __set magic methods
          • PHP __isset magic method
      • Object Oriented Programming
        • Episodes
          • Classes
          • Objects & Static Methods
          • Inheritance
          • Abstract Classes
          • Interfaces
          • Encapsulation
      • Object Oriented PHP
        • Episodes
          • PHP Classes
          • PHP Objects and Static Methods
          • PHP Inheritance
          • PHP Abstract Classes
          • PHP Interfaces
          • PHP Encapsulation
    • Clean Code
      • Clean Code Tips
      • How to write clean code: A beginners guide
      • 10 Tips to Improve Your Code Quality and Maintainability
      • Clean Code Refactors
    • Podcast

Command Design Pattern

The Command Design Pattern is a behavioral pattern used in software engineering to represent an action or request as an object. It is particularly useful when you need to pass requests between objects, or when you need to queue or delay a request.


Imagine you have a software system that needs to perform various actions, such as opening and closing a window, turning on and off a light, and starting and stopping a motor. Instead of having separate methods for each action, you can use the Command Design Pattern to create a single command object that represents the action and can be executed when needed.


Here's how the Command Design Pattern works:


You create an interface (or abstract class) that defines the basic structure of the command object, including a method for executing the command. You then create concrete classes that implement the interface and provide specific implementation details for each command.

Finally, you create a client class that has a list of command objects and a method for executing them.

So, in the example of performing different actions, you would have an interface for the command, concrete classes for each action, and a client class that holds a list of command objects and can execute them when needed.


This pattern provides several benefits:

It decouples the objects that perform the action from the objects that request the action, making it easier to maintain and scale the software system.

It makes it easy to add new actions, as you simply need to create a new concrete command class.

It allows you to queue or delay requests, as you can simply add the command object to the list and execute it when needed.

It provides a clean and organized way to represent actions as objects, making it easier to understand and maintain the code.



In summary, the Command Design Pattern is a useful tool for organizing and executing requests in a software system. It provides a flexible and reusable way to represent actions as objects and can help ensure consistency, maintainability, and scalability in your code.




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