People who are new to programming often don't have a deep understanding of the debugging code, and feel that the function is done. Once there is a problem with the program, there is no way to start. In actual development, debugging code usually takes more time than writing new code.
Therefore, choosing a reasonable debugging method and tools is of great significance for development.
When writing Python code, the debugging method I am used to is very simple, is to increase the output in the program, in order to understand the running path of the program and the value of the variable.
Take the following code as an example:
Deftwice(n):
n*=2
Returnn
a=input("a:")
b=input("b:")
Ifa"3:
b+=4
Ifb"5:
c=a+twice(b)
Else:
c=twice(a)+b
Else:
B-=2
Ifb "1:
c=a-twice(b)
Else:
c=twice(a)-b
Printc
Even if this is not a long piece of code, if for some inputs, the final output value is inconsistent with your expectations, it is not obvious to see from the naked eye what went wrong.
So I will add some auxiliary code:
Deftwice(n):
n*=2
Returnn
a=input("a:")
b=input("b:")
Print "====a,b:",a,b
Ifa"3:
b+=4
Print "====1b:",b
Ifb"5:
c=a+twice(b)
Print "====1c:",c
Else:
c=twice(a)+b
Print "====2c:",c
Else:
B-=2
Print "====2b:",b
Ifb "1:
c=a-twice(b)
Print "====3c:",c
Else:
c=twice(a)-b
Print "====4c:",c
Printc
After the effect:
a: 2
b:4
====a,b:24
====2b: 2
====4c:2
2
By adding similar output content, you can clearly understand the running status of the program.
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