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	title
| title | 
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| Python Comparisons | 
There are eight comparison operations in Python. They all have the same priority (which is higher than that of the Boolean operations). Comparisons can be chained arbitrarily; for example, x < y <= z is equivalent to x < y and y <= z, except that y is evaluated only once (but in both cases z is not evaluated at all when x < y is found to be false).
This table summarizes the comparison operations:
| Operation | Meaning | 
|---|---|
| < | strictly less than | 
| <= | less than or equal to | 
| > | strictly greater than | 
| >= | greater than or equal to | 
| == | equal to | 
| != | not equal to | 
| is | object identity | 
| is not | negated object identity | 
Objects of different types, except different numeric types, never compare equal. Furthermore, some types (for example, function objects) support only a degenerate notion of comparison where any two objects of that type are unequal. The <, <=, > and >= operators will raise a TypeError exception when comparing a complex number with another built-in numeric type, when the objects are of different types that cannot be compared, or in other cases where there is no defined ordering.
Non-identical instances of a class normally compare as non-equal unless the class defines the __eq__() method.
Instances of a class cannot be ordered with respect to other instances of the same class, or other types of object, unless the class defines enough of the methods __lt__(), __le__(), __gt__(), and __ge__() (in general, __lt__() and __eq__() are sufficient, if you want the conventional meanings of the comparison operators).
The behavior of the is and is not operators cannot be customized; also they can be applied to any two objects and never raise an exception.
We can also chain < and > operators together. For instance, 3 < 4 < 5 will return True, but 3 < 4 > 5 will not. We can also chain the equality operator. For instance, 3 == 3 < 5 will return True but 3 == 5 < 5 will not.
Equality Comparisons - "is" vs "=="
In Python, there are two comparison operators which allow us to check to see if two objects are equal. The is operator and the == operator. However, there is a key difference between them!
The key difference between 'is' and '==' can be summed up as:
- isis used to compare identity
- ==is used to compare equality
Example
First, create a list in Python.
myListA = [1,2,3]
Next, create a copy of that list.
myListB = myListA
If we use the '==' operator or the 'is' operator, both will result in a True output.
>>> myListA == myListB # both lists contains similar elements
True
>>> myListB is myListA # myListB contains the same elements
True
This is because both myListA and myListB are pointing to the same list variable, which I defined at beginning of my Python program. Both lists are exactly the same, both in identity and in content.
However, what if I now create a new list?
myListC = [1,2,3]
Performing the == operator still shows that both lists are the same, in terms of content.
>>> myListA == myListC
True
However, performing the is operator will now produce a False output. This is because myListA and myListC are two different variables, despite containing the same data. Even though they look the same, they are different.
>>> myListA is myListC
False # both lists have different reference
To sum up:
- An isexpression outputsTrueif both variables are pointing to the same reference
- An ==expression outputsTrueif both variables contain the same data