The arnauddri/algorithms repository is a collection of classic computer science algorithms implemented in Go. It covers various categories such as sorting, searching, data structures, and graph algorithms, providing a valuable resource for learning and reference.

Pros

• Comprehensive collection of algorithms covering multiple categories
• Clear and well-organized code structure
• Includes test cases for most implementations
• Serves as both a learning resource and a reference for Go developers

Cons

• Some algorithms may lack detailed explanations or comments
• Not actively maintained (last commit was several years ago)
• May not include the most recent or optimized versions of some algorithms
• Limited to Go language implementations

Code Examples

Here are a few examples of algorithms implemented in this repository:

1. Binary Search implementation:

func BinarySearch(array []int, target int) int {
    left, right := 0, len(array)-1

    for left <= right {
        mid := (left + right) / 2
        if array[mid] == target {
            return mid
        } else if array[mid] < target {
            left = mid + 1
        } else {
            right = mid - 1
        }
    }
    return -1
}

2. Quicksort implementation:

func QuickSort(arr []int) []int {
    if len(arr) <= 1 {
        return arr
    }

    pivot := arr[len(arr)/2]
    left := make([]int, 0)
    right := make([]int, 0)
    middle := make([]int, 0)

    for _, item := range arr {
        switch {
        case item < pivot:
            left = append(left, item)
        case item == pivot:
            middle = append(middle, item)
        case item > pivot:
            right = append(right, item)
        }
    }

    left = QuickSort(left)
    right = QuickSort(right)

    return append(append(left, middle...), right...)
}

3. Depth-First Search (DFS) implementation for a graph:

func (g *Graph) DFS(start int, visited map[int]bool) {
    if visited == nil {
        visited = make(map[int]bool)
    }
    visited[start] = true
    fmt.Printf("%d ", start)

    for _, neighbor := range g.adjacencyList[start] {
        if !visited[neighbor] {
            g.DFS(neighbor, visited)
        }
    }
}

Getting Started

To use these algorithms in your Go project:

1. Clone the repository:

   git clone https://github.com/arnauddri/algorithms.git
   

2. Import the desired algorithm package in your Go code:

   import "github.com/arnauddri/algorithms/sorting"
   

3. Use the algorithm functions in your code:

   arr := []int{5, 2, 8, 12, 1, 6}
   sortedArr := sorting.QuickSort(arr)
   fmt.Println(sortedArr)
   

Note that you may need to adjust import paths based on your project structure and Go workspace configuration.