使用List对其进行排序 using System; using System.Collections.Generic; using System.Text; namespace ConsoleApplication4 { class Program { static void Main(string[] args) { Dictionary<string, string> dic = new Dictionary<string, stri
字典的元素是成键值对出现的,直接对字典使用sorted() 排序,它是根据字典的键的ASCII编码顺序进行排序,要想让字典根据值的大小来排序,可以有两种方法来实现: 一.利用zip函数将字典数据转化为元组再用sorted() 排序 from random import randint # 用随机函数生成待排序的字典数据 my_dict = {x: randint(60, 100) for x in 'abcxyzgkj'} # 将字典数据转化为元组,把字典的值作为元组的第0项,键作为元组的第1项
一.数据筛选: 处理方式: 1.filter函数在py3,返回的是个生成式. from random import randint data = [randint(-100,100) for i in range(10)] data2 = [34, -59, -13, 96, -78, 38, 89, -96, -79, 98] info = filter(lambda x:x>0,data2) for i in info: print(i) 2.列表解析 from random import
favorite_language ={ "jen":"python", "sarah":"c", "edward":"ruby", "phil":"python", } for name in sorted(favorite_language.keys()):# sort by zimushunxu print(name.title()+&quo
Given a list of strings words representing an English Dictionary, find the longest word in words that can be built one character at a time by other words in words. If there is more than one possible answer, return the longest word with the smallest l
Given a string and a string dictionary, find the longest string in the dictionary that can be formed by deleting some characters of the given string. If there are more than one possible results, return the longest word with the smallest lexicographic
use master go select * from sys.dm_os_buffer_descriptors go --查看数据库在数据缓存(data cache)中占用的空间大小 --由于每个数据页对应动态管理视图(dynamic management view,DMV)中的一行,为128 字节,为1/8个千字节(KB) --1字节(Byte)=8位(Bit) --1千字节(KB)=1024字节(Byte) --1兆(MB)=1024千字节(KB) as 'Cached Size(MB)'