Types of identity operators in python w3schools

Francis 32 Published: 11/01/2024

Types of identity operators in python w3schools

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Python Identity Operators are used to compare the memory addresses of two objects. These operators check if two variables point to the same object. Python provides several identity operators, including:

is - This operator checks whether two variables refer to the same object.

Example:

a = [1, 2, 3]

b = a

print(a is b) # Output: True

In this example, a and b are two different names that point to the same list. The is operator returns True because both a and b refer to the same object.

is not - This operator checks whether two variables do not refer to the same object.

Example:

a = [1, 2, 3]

b = [4, 5, 6]

print(a is not b) # Output: True

In this example, a and b are two different lists. The is not operator returns True because they do not refer to the same object.

id() - This built-in function returns the memory address of an object.

Example:

a = [1, 2, 3]

b = [4, 5, 6]

print(id(a)) # Output: some memory address

print(id(b)) # Output: another memory address

In this example, id() returns the memory addresses of a and b, which are different.

By using these identity operators, you can compare objects in Python and check whether they point to the same object.

Membership operators in Python with example

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Membership Operators in Python:

Python has several membership operators that help determine if a value exists within a sequence (like a string, list, tuple, or dictionary) or a set. These operators are:

in: Checks if a value is present in a sequence or set.

not in: The opposite of in, checks if a value is not present in a sequence or set.

Example 1: Using in

fruits = ['apple', 'banana', 'cherry']

print('banana' in fruits) # Output: True

print('grape' in fruits) # Output: False

In this example, we define a list of fruits and use the in operator to check if 'banana' is present. Since it is, the output is True. On the other hand, checking for 'grape', which isn't in the list, returns False.

Example 2: Using not in

fruits = ['apple', 'banana', 'cherry']

print('orange' not in fruits) # Output: True

print('banana' not in fruits) # Output: False

Here, we use the not in operator to check if 'orange' is not present. Since it's not in the list, the output is True. If we were to check for 'banana', which is indeed in the list, the output would be False.

Example 3: Using Membership Operators with Sets

fruits = {'apple', 'banana', 'cherry'}

print('banana' in fruits) # Output: True

print('grape' not in fruits) # Output: True

print('orange' not in fruits) # Output: True

In this example, we define a set of fruits and use the in operator to check if 'banana' is present. Since it is, the output is True. We also use not in to check for other values that are not in the set.

Example 4: Using Membership Operators with Dictionaries

person = {'name': 'John', 'age': 30}

print('name' in person) # Output: True

print('job' not in person) # Output: True

Here, we define a dictionary representing a person and use the in operator to check if 'name' is present as a key. Since it is, the output is True. We also use not in to check for other keys that are not present.

In conclusion, Python's membership operators (in and not in) can help you determine whether a value exists within a sequence or set. They can be useful when working with data structures like lists, tuples, dictionaries, or sets!