The True and False conditions in Python determine instance analysis

This article illustrates the use of True and False conditional judgment in Python. Share with you for your reference. Specific analysis is as follows:

Experienced programmers know how to write conditional statements:
Take C++ as an example:

if (condition)  

{  

    doSomething();  

}

The rules for writing conditional judgment statements in Python look like this:

if (condition) :   

    doSomething()

So when is an condition true and when is it false in a condition statement?
In high-level languages such as C++/Java, a condition is False if the value is 0 or if the referenced object is a null pointer.
In Python, if condition is '', (), [], {}, None, set(), then the condition is Flase, otherwise True.
Here are the test statements for Python:
1. Test for strings

>>> condition=''  

>>> print 'True' if condition else 'False'  

False  

>>> condition='test'  

>>> print 'True' if condition else 'False'  

True

2. Test against the original group

>>> condition=()  

>>> print 'True' if condition else 'False'  

False  

>>> condition=(1,2)  

>>> print 'True' if condition else 'False'  

True

3. Testing against lists

>>> condition=[]  

>>> print 'True' if condition else 'False'  

False  

>>> condition=['a','b']  

>>> print 'True' if condition else 'False'  

True

4. Tests for dictionaries

>>> condition={}  

>>> print 'True' if condition else 'False'  

False  

>>> condition={'k':'v'}  

>>> print 'True' if condition else 'False'  

True

5. Testing for None

>>> condition=None  

>>> print 'True' if condition else 'False'  

False

6. Test for set()

>>> condition=set()  

>>> print 'True' if condition else 'False'  

False  

>>> condition.add('a')  

>>> print 'True' if condition else 'False'  

True

I hope this article has helped you with your Python programming.