Python quickly finds examples of algorithm applications

This article illustrates the application of Python quick search algorithm, and shares it with you for your reference.

The specific implementation method is as follows:

import random
def partition(list_object,start,end):
  random_choice = start
  #random.choice(range(start,end+1))
  # Put here start to random() It will be more efficient 
  x = list_object[random_choice]
  i = start
  j = end
  while True:
    while list_object[i] < x and i < end:
      i += 1
    while list_object[j] > x:
      j -= 1
    if i >= j:
      break
    list_object[i],list_object[j] = list_object[j],list_object[i]
  print list_object
  #list_object[random_choice] = list_object[j]
  #list_object[j] = random_choice
  return j

def quick_sort(list_object,start,end):
  if start < end:
    temp = partition(list_object,start,end)
    quick_sort(list_object,start,temp-1)
    quick_sort(list_object,temp + 1 ,end)
    
a_list = [69,65,90,37,92,6,28,54]
quick_sort(a_list,0,7)
print a_list

The program test environment was Python2.7.6

The output results are as follows:

[54, 65, 28, 37, 6, 69, 92, 90]
[6, 37, 28, 54, 65, 69, 92, 90]
[6, 37, 28, 54, 65, 69, 92, 90]
[6, 28, 37, 54, 65, 69, 92, 90]
[6, 28, 37, 54, 65, 69, 90, 92]
[6, 28, 37, 54, 65, 69, 90, 92]

I hope this article has helped you with your Python programming.