This example shows how to implement a worker pool using channels and goroutines.

package main

import (
    "fmt"
    "time"
)

// this is a worker that we will run in several parallel instances
// these workers will receive tasks through the 'jobs' channel and send the results to 'results'
// we will wait for one second for each task to simulate heavy requests
func worker(id int, jobs <-chan int, results chan<- int) {
    for j := range jobs {
        fmt.Println("worker", id, "started job", j)
        time.Sleep(time.Second)
        fmt.Println("worker", id, "finished job", j)
        results <- j * 2
    }
}

func main() {
    // to use worker pool, we need to send a task and receive the execution results
    // therefore 2 channels are created
    jobs := make(chan int, 100)
    results := make(chan int, 100)

    // start 3 workers, initially blocked because no assignments yet
    for w := 1; w <= 3; w++ {
        go worker(w, jobs, results)
    }

    // send 5 jobs and then close the channel, notofying that all jobs have been sent
    for j := 1; j <= 5; j++ {
        jobs <- j
    }

    close(jobs)

    // collect all the results
    // this also ensures that the goroutines have ended
    for a := 1; a <= 5; a++ {
        <-results
    }
}

main.go

Worker pools in Go

In this code, the quick_sort function is a recursive implementation of the Quick Sort algorithm. The pivot element is chosen as the first element of the array, and elements are partitioned into two sub-arrays (left and right) based on their relationship to the pivot. The function is then called recursively on the left and right sub-arrays until the entire array is sorted.

def quick_sort(arr):
    if len(arr) <= 1:
        return arr
    else:
        pivot = arr[0]
        left = [x for x in arr[1:] if x <= pivot]
        right = [x for x in arr[1:] if x > pivot]
        return quick_sort(left) + [pivot] + quick_sort(right)

# Example usage:
input_array = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5]
sorted_array = quick_sort(input_array)

print("Original Array:", input_array)
print("Sorted Array:", sorted_array)


main.py

Python

Implementation of the Quick Sort algorithm in Python

Here's a simple implementation of the Quick Sort algorithm in PHP

<?php

function quickSort(array $array): array
{
    $length = count($array);

    if ($length <= 1) {
        return $array;
    }

    $pivot = $array[0];
    $left = $right = [];

    for ($i = 1; $i < $length; $i++) {
        if ($array[$i] < $pivot) {
            $left[] = $array[$i];
        } else {
            $right[] = $array[$i];
        }
    }

    return array_merge(quickSort($left), [$pivot], quickSort($right));
}

// Example usage:
$array = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5];
$sortedArray = quickSort($array);

echo "Original Array: " . implode(", ", $array) . "\n";
echo "Sorted Array: " . implode(", ", $sortedArray) . "\n";



main.php

Simple implementation of the Quick Sort algorithm in PHP

package main

import (
	"errors"
	"fmt"
	"os"
)

func main() {
	filePath := "file.txt"

	if _, err := os.Stat(filePath); errors.Is(err, os.ErrNotExist) {
		fmt.Println("file not exists")
	} else {
		fmt.Println("file exists")
	}
}

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Worker pools in Go

Implementation of the Quick Sort algorithm in Python

Simple implementation of the Quick Sort algorithm in PHP

Check if a file exists or not in Go

Implementation of the Quick Sort algorithm in Python

Simple implementation of the Quick Sort algorithm in PHP

Check if a file exists or not in Go