In the demo-recipes
project, data structures and logic are used to manipulate recipe information and user preferences. Here are some examples of how this is done:
- Arrays: Arrays are used to store and manipulate lists of data. For example, an array could be used to store a list of recipes, with each element in the array representing a single recipe.
Example:
const recipes: Recipe[] = [
{ name: 'Spaghetti', ingredients: ['noodles', 'tomato sauce', 'meatballs'] },
{ name: 'Pizza', ingredients: ['dough', 'tomato sauce', 'cheese', 'toppings'] },
// more recipes...
];
- Objects: Objects are used to store and manipulate key-value pairs of data. For example, an object could be used to store a single recipe, with each key representing a different property of the recipe.
Example:
const recipe: Recipe = {
name: 'Spaghetti',
ingredients: ['noodles', 'tomato sauce', 'meatballs']
};
Linked Lists: Linked lists are used to store and manipulate data in a linear sequence, where each element points to the next element in the sequence. While not explicitly used in the
demo-recipes
project, linked lists are a fundamental data structure that could be used to improve performance in certain situations.Trees: Trees are used to store and manipulate hierarchical data structures, where each element has a parent and/or children. For example, a tree could be used to represent a category hierarchy of recipes.
Example:
const recipeTree: RecipeTree = {
name: 'Main Dishes',
children: [
{
name: 'Pasta',
children: [
{ name: 'Spaghetti', ingredients: ['noodles', 'tomato sauce', 'meatballs'] },
// more pasta recipes...
]
},
{
name: 'Pizza',
ingredients: ['dough', 'tomato sauce', 'cheese', 'toppings']
},
// more main dishes...
]
};
- Graphs: Graphs are used to store and manipulate data in a non-linear sequence, where each element can be connected to any other element. For example, a graph could be used to represent relationships between recipes, such as “similar” or “related” recipes.
Example:
const recipeGraph: RecipeGraph = {
nodes: [
{ name: 'Spaghetti', ingredients: ['noodles', 'tomato sauce', 'meatballs'] },
{ name: 'Pizza', ingredients: ['dough', 'tomato sauce', 'cheese', 'toppings'] },
// more recipes...
],
edges: [
{ from: 'Spaghetti', to: 'Pizza' },
// more relationships...
]
};
- Stacks and Queues: Stacks and queues are used to store and manipulate data in a specific order, where elements are added and removed in a specific way. For example, a stack could be used to implement a “undo” feature, where the most recent actions are the first to be undone.
Example:
const actionStack: Action[] = [];
// Add an action to the stack
actionStack.push({ type: 'ADD_INGREDIENT', ingredient: 'noodles' });
// Remove the most recent action from the stack
actionStack.pop();
- Sorting Algorithms: Sorting algorithms are used to sort data in a specific order. For example, a sorting algorithm could be used to sort recipes by name, cooking time, or calorie count.
Example:
// Sort recipes by name
recipes.sort((a, b) => a.name.localeCompare(b.name));
- Search Algorithms: Search algorithms are used to find specific data within a larger dataset. For example, a search algorithm could be used to find recipes that contain a specific ingredient.
Example:
// Find recipes that contain the ingredient 'cheese'
const cheeseRecipes = recipes.filter(recipe => recipe.ingredients.includes('cheese'));
Sources:
- Data Structures 101: How to build min and max heaps: https://www.educative.io/blog/data-structure-heaps-guide
- Data Structures 101: A deep dive into trees with Java: https://www.educative.io/blog/data-structures-trees-java
- 6 JavaScript data structures you must know: https://www.educative.io/blog/javascript-data-structures
- What is competitive programming? Competitive programming with C++: https://www.educative.io/blog/guide-competitive-programming-cpp
- Learn how to code: The beginner’s guide to coding and syntax: https://www.educative.io/blog/learn-how-to-code-beginners-guide
- Crack coding interviews by building these 5 real-world features: https://www.educative.io/blog/crack-coding-interview-real-world-problems
- The 11 best online courses to supercharge your JavaScript skills: https://www.educative.io/blog/best-online-javascript-courses
- Cracking the top Amazon coding interview questions: https://www.educative.io/blog/crack-amazon-coding-interview-questions
- Top data structures and algorithms every developer must know: https://www.educative.io/blog/data-structures-algorithms
- Learn Python: Lists, sets, and tuples: https://www.educative.io/blog/learn-python-lists-sets-tuples-data-structures
- The Linux kernel community learns how to grow more penguins: https://opensource.com/education/13/11/linux-kernel-community-growth