七代目火影f 发表于 2024-2-1 20:27:47

666

小帅毅 发表于 2024-2-2 03:09:01

1

Tomo123 发表于 2024-2-2 10:44:45

求答案解析

代码X 发表于 2024-2-2 11:13:51

111

老用户4 发表于 2024-2-2 15:57:18

0.只会通过编码行动
1.二进制
2.转码
3.
4.可以
5.
6.亲们,趁敌人吃饭时,发动进攻

了反念你 发表于 2024-2-2 19:34:05

1

badfish 发表于 2024-2-2 20:44:11

jy

huaji114 发表于 2024-2-3 11:05:43

1

F.C 发表于 2024-2-3 15:07:37

1

ExitLos 发表于 2024-2-4 01:41:14

qwq

laijiahao233 发表于 2024-2-4 13:54:59

1111

小阳晨 发表于 2024-2-4 14:14:27

0.电脑只会根据认为输入的编码进行指定运算
1.机器语言也叫汇编语言
2.编译
3.主要区别在于程序执行的方式和可移植性
4.不能
5.使用语言解释器
6.通过不同的排列顺序来表达不同的英文字母,数字和标点符号
7.

laijiahao233 发表于 2024-2-4 14:24:33

12

zy0331 发表于 2024-2-4 15:39:33

0.计算机只认识0和1。
1.机器语言
2.编译
3.编译语言源代码最终会被编译成机器语言,解释语言不直接编译成机器语言,而是将源代码转换成解释码,然后发送给解释器,由解释器逐句翻译给CPU来执行。
4.能
5.将源代码转换成解释码,然后发送给解释器,由解释器逐句翻译给CPU来执行。
6.查表
7.QINMEN CHEND IRENC HIFAN SHIF ADONG JINGO NG

zy0331 发表于 2024-2-4 15:49:48

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

三笠ovo 发表于 2024-2-4 20:56:03

不知道

在码农的路上 发表于 2024-2-4 22:22:31

102

yyuYY 发表于 2024-2-5 11:29:01

1

樂饿乐 发表于 2024-2-5 13:05:21

答案

Zxy?? 发表于 2024-2-5 14:48:06

二进制语言
编程语言
编译
页: 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 [2002] 2003 2004 2005 2006 2007 2008 2009 2010 2011
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