1.二分查找
只能用二分查找查找有序列表
def bin_search(data,val): #data为被查找的列表，val是要查找的值low = 0high = len(data) - 1while low <= high:mid = (low+high)//2if data[mid] == val:return mid #找到了，返回val所在的索引elif data[mid] < val:low = mid + 1else:high = mid - 1return #未找到，返回None
2.冒泡排序
def bubble_sort(data): #data传需要排序的列表for i in range(len(data)-1):FLAG = 0for j in range(len(data)-i-1):if data[j] > data[j+1]:data[j],data[j+1] = data[j+1],data[j]FLAG = 1if FLAG == 0:break
3.选择排序
def select_sort(data):for i in range(len(data)-1):min = ifor j in range(i+1,len(data)):if data[j] < data[min]:min = jdata[i],data[min] = data[min],data[i]
4.插入排序
def insert_sort(data):for i in range(1,len(data)):tmp = data[i]j = i - 1while j >= 0 and data[j] > tmp:data[j+1] = data[j]j = j - 1data[j + 1] = tmp
5.快速排序
def quick_sort(data,left,right):if left < right:mid = partition(data,left,right)quick_sort(data,left,mid - 1)quick_sort(data,mid + 1,right)def partition(data,left,right):tmp = data[left]while left < right:while left < right and data[right] >= tmp:right -= 1data[left] = data[right]while left < right and data[left] <= tmp:left += 1data[right] = data[left]data[left] = tmpreturn left
6.堆排序
def sift(data,low,high):i = lowj = 2 * i +1tmp = data[i]while j <= high:if j + 1 <= high and data[j] < data[j+1]:j += 1if data[j] > tmp:data[i] = data[j]i = jj = 2 * i + 1else:breakdata[i] = tmpdef heap_sort(data):n = len(data)for i in range(n // 2 - 1 ,-1 ,-1):sift(data,i,n-1)for i in range(n-1,-1,-1):data[0],data[i] = data[i],data[0]sift(data,0,i-1)
7.归并排序
def merge(data,low,mid,high):i = lowj = mid+1tmp = []while i <= mid and j <= high:if data[i] < data[j]:tmp.append(data[i])i += 1else:tmp.append(data[j])j += 1while i <= mid:tmp.append(data[i])i += 1while j <= high:tmp.append(data[j])j += 1data[low:high+1] = tmpdef mergesort(data,low,high):if low < high:mid = (low+high)//2mergesort(data,low,mid)mergesort(data,mid+1,high)merge(data,low,mid,high)
介绍)
 Timer_A 定时器)
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