JavaScript Basics

Quick cheat sheet for the most common JavaScript syntax and methods.

1. Variable Declaration

// Using let and const
let x = 10;        // Mutable
const y = 20;      // Immutable
  • Type checking
console.log(typeof x);           // "number"
console.log(Array.isArray([])); // true
console.log(Number.isInteger(5)); // true
  • Quick conversions
console.log(+"123");    // 123 (string to number)
console.log(123 + "");  // "123" (number to string)
console.log(!!0);       // false (truthy/falsy check)

2. Function Definition

  • Function declaration
function add(a, b) {
    return a + b;
}

console.log(add(2, 3)); // Expected: 5
  • Function expression
const multiply = function (a, b) {
    return a * b;
};
console.log(multiply(4, 5)); // Expected: 20
  • Arrow functions
const subtract = (a, b) => a - b;
const square = x => x * x;           // Single parameter
const greet = () => "Hello!";        // No parameters

console.log(subtract(10, 3)); // Expected: 7
console.log(square(4));       // Expected: 16
console.log(greet());         // Expected: "Hello!"

3. Loops

  • For loop
for (let i = 0; i < 3; i++) {
    console.log(i * 2); // Prints: 0, 2, 4
}
  • For…of loop (values)
const arr = [10, 20, 30];
for (const num of arr) {
    console.log(num); // Prints: 10, 20, 30
}
  • For…in loop (keys)
const obj = {a: 1, b: 2, c: 3};
for (const key in obj) {
    console.log(key, obj[key]); // Prints: a 1, b 2, c 3
}
  • While loop
let i = 0;
while (i < 3) {
    console.log(i++); // Prints: 0, 1, 2
}

4. Array Manipulation

  • Basic array operations
    • Time Complexity:
      • push (add to the end): \(O(1)\)
      • pop (remove from the end): \(O(1)\)
      • shift (remove from the start): \(O(n)\)
      • unshift (add to the start): \(O(n)\)
    • Space Complexity: \(O(n)\) (proportional to the number of elements)
const arr = [1, 2, 3, 4, 5];

// Add/remove elements
arr.push(6);    // [1, 2, 3, 4, 5, 6]
arr.pop();      // [1, 2, 3, 4, 5]
arr.shift();    // [2, 3, 4, 5]
arr.unshift(0); // [0, 2, 3, 4, 5]
  • Slice and splice
    • slice (non-mutating): \(O(k)\), where k is the size of the sliced portion.
    • splice (mutating): \(O(n)\), where n is the size of the array.
const original = [1, 2, 3, 4, 5];
const sliced = original.slice(1, 3);  // [2, 3] (non-mutating)
original.splice(2, 1);                // Removes 1 element at index 2 (mutating)
  • Iteration methods
    • forEach, map, filter: \(O(n)\)
const nums = [1, 2, 3, 4, 5];
nums.forEach((num, index) => console.log(`Index: ${index}, Value: ${num}`));
const doubled = nums.map(num => num * 2);        // [2, 4, 6, 8, 10]
const evens = nums.filter(num => num % 2 === 0); // [2, 4]
  • Searching
    • includes, indexOf, find: \(O(n)\)
const arr = [1, 2, 3, 4, 5];
arr.includes(3);        // true
arr.indexOf(3);         // 2
arr.find(num => num > 3); // 4
  • Sorting
    • sort: \(O(n \log n)\)
const unsorted = [3, 1, 4, 1, 5];
unsorted.sort((a, b) => a - b); // [1, 1, 3, 4, 5] (ascending)
unsorted.sort((a, b) => b - a); // [5, 4, 3, 1, 1] (descending)

5. String Manipulation

  • Character access
    • Accessing a specific character or the length of a string is constant time \(O(1)\).
const str = "hello world";
console.log(str[0]);     // 'h' 
console.log(str.length); // 11
  • Substring methods
    • \(O(k)\), where k is the length of the substring.
    • Extracting a substring involves iterating over the characters in the substring.
console.log(str.slice(0, 5));     // 'hello' 
console.log(str.substring(0, 5));  // 'hello'
  • Splitting and joining:
    • \(O(n)\), where n is the length of the string or the total length of the array elements.
      Splitting iterates through the string, and joining iterates through the array.
const words = str.split(" ");      // ['hello', 'world'] 
const joined = words.join("-");    // 'hello-world'
  • Searching:
    • \(O(n)\), where n is the length of the string.
      Searching for a substring involves scanning the string.
console.log(str.indexOf("world"));  // 6 
console.log(str.includes("hello")); // true
  • Replacing
    • \(O(n)\), where n is the length of the string.
      Replacing involves searching for the substring and creating a new string.
console.log(str.replace("world", "JavaScript")); // 'hello JavaScript'
  • Case transformation:
    • \(O(n)\), where n is the length of the string.
      Transforming the case requires iterating through all characters.
console.log(str.toUpperCase()); // 'HELLO WORLD' 
console.log(str.toLowerCase()); // 'hello world'

6. Useful Built-in Methods

  • Math functions
Infinity            // Represents infinity
Math.max(1, 2, 3);  // 3
Math.min(1, 2, 3);  // 1
Math.floor(4.7);    // 4
Math.ceil(4.2);     // 5
Math.round(4.5);    // 5
Math.random();      // Random number between 0 and 1
  • Number parsing
parseInt("123px");    // 123
parseFloat("123.45"); // 123.45

7. Data Structures

  • Set (unique values)
    • Time Complexity:
      • add: \(O(1)\) (average case), \(O(n)\) (worst case, due to resizing)
      • delete: \(O(1)\) (average case)
      • has: \(O(1)\)
      • Iteration (e.g., spreading with ...): \(O(n)\)
    • Space Complexity: \(O(n)\) (proportional to the number of elements)
const set = new Set([1, 2, 3, 3]);
set.add(4);
set.delete(2);
console.log(set.has(3)); // true
console.log([...set]);   // [1, 3, 4]
  • Map (key-value pairs)
    • Time Complexity:
      • set: \(O(1)\) (average case), \(O(n)\) (worst case, due to resizing)
      • get: \(O(1)\)
      • delete: \(O(1)\)
      • has: \(O(1)\)
      • Iteration (e.g., for...of): \(O(n)\)
    • Space Complexity: \(O(n)\) (proportional to the number of key-value pairs)
const map = new Map();
map.set("a", 1); // key, value
map.set("b", 2);
console.log(map.get("a")); // 1
map.delete("b");
console.log(map.has("b")); // false

8. Object Manipulation

  • Property access:
    • \(O(1)\) (direct access by key).
const obj = {a: 1, b: 2, c: 3};
console.log(obj.a);    // 1 
console.log(obj["b"]); // 2
  • Adding or updating properties:
    • \(O(1)\) (average case).
obj.d = 4;        // Add property 
obj["e"] = 5;     // Add with bracket notation
  • Deleting properties:
    • \(O(1)\) (average case).
delete obj.a;      // 
console.log("a" in obj); // false
  • Object methods:
    • Time Complexity:
      • Object.keys, Object.values, Object.entries: \(O(n)\), where n is the number of properties.
    • Space Complexity: \(O(n)\) (proportional to the number of properties).
const keys = Object.keys(obj);      // ['b', 'c', 'd', 'e'] 
const values = Object.values(obj);  // [2, 3, 4, 5] 
const entries = Object.entries(obj); // [['b', 2], ['c', 3], ...]
  • Iterating over objects:
    • Time Complexity: \(O(n)\), where n is the number of properties.
for (const key in obj) {
    console.log(key, obj[key]); // 
}

9. Conditional Statements

  • Basic if-else
const num = 10;

if (num > 5) {
    console.log("Greater than 5");
} else if (num === 5) {
    console.log("Equal to 5");
} else {
    console.log("Less than 5");
}
  • Ternary operator
const result = num > 5 ? "Greater" : "Smaller";
  • Switch statement
const day = "monday";
switch (day) {
    case "monday":
    case "tuesday":
        console.log("Weekday");
        break;
    case "saturday":
    case "sunday":
        console.log("Weekend");
        break;
    default:
        console.log("Unknown");
}

10. Error Handling

try {
    throw new Error("Something went wrong");
} catch (error) {
    console.log(error.message);
} finally {
    console.log("Cleanup code");
}

11. Recursion

  • The time complexity of a recursive function is determined by:
    • Number of recursive calls: How many times the function is called. (i.e. (n + 1) (from (n) down to 0))
    • Work done per call: The amount of computation performed in each call (excluding the recursive calls). (i.e. a single multiplication operation)
    • Time Complexity here is \(O(n)\).
  • The space complexity of recursion is determined by the call stack:
    • Each recursive call adds a new frame to the stack. (i.e. (n + 1) frames for n calls)
    • The maximum depth of the recursion determines the space used. (i.e. n frames for n calls)
    • Space Complexity here is \(O(n)\).
function factorial(n) {
    if (n === 0) return 1;
    return n * factorial(n - 1);
}

console.log(factorial(5)); // 120

This should give enough information to get back into your javascript game.