Major Algorithms Every Programmer Should Know 🤖💻

As programmers, understanding and implementing key algorithms is a crucial step toward problem-solving and writing efficient code. Whether you’re coding in Ruby, Python, or JavaScript, algorithms are foundational building blocks. Here’s a list of major algorithms every programmer should know and an explanation of each, along with examples. Let’s dive in! 🔍✨

1. Sorting Algorithms 🧮

Sorting is the process of arranging data in a particular order, such as ascending or descending. There are several sorting algorithms, and each has its own use case depending on the data size and complexity.

Common Sorting Algorithms:

• Bubble Sort
• Merge Sort
• Quick Sort

Example: Merge Sort (Ruby)

Merge Sort is a divide-and-conquer algorithm that splits the array into two halves, recursively sorts each half, and then merges them back together.

def merge_sort(arr)
  return arr if arr.length <= 1
  mid = arr.length / 2
  left = merge_sort(arr[0...mid])
  right = merge_sort(arr[mid..])
  merge(left, right)
end

def merge(left, right)
  result = []
  while left.any? && right.any?
    if left.first <= right.first
      result << left.shift
    else
      result << right.shift
    end…