nptepad++运行python问题
使用notepad++写了小甲鱼python教程的第一个小游戏——猜数字在notepad++中直接运行没有问题,如下图:
data:image/png;base64,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
保存之后形成一个.py文件,运行.py文件,发现和用notepad++结果不同,如下图:
data:image/png;base64,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
运行到这里,回车,cmd直接关闭了。。。这是为什么啊
---这是一个游戏---
guess a number:5
small
you still have 2 chances
guess a number:5
small
you still have 1 chances
guess a number:5
small
you have no chance,end!
请按任意键继续. . .
问题是:.py文件运行到
---这是一个游戏---
guess a number:5
small
you still have 2 chances
guess a number:5
small
you still have 1 chances
guess a number:5
到这里就直接关闭了
在结束之前写一个input()就好了
页:
[1]