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Logical operators in Python are used to combine the results of two or more boolean expressions. They are particularly useful when working with conditions and control structures, such as if
statements and loops.
In this tutorial, we will explore the different logical operators in Python and how to use them.
and
):The logical AND operator returns True
if both operands are True
. If at least one of the operands is False
, it returns False
.
a = True b = False result = a and b print(result) # Output: False
or
):The logical OR operator returns True
if at least one of the operands is True
. If both operands are False
, it returns False
.
a = True b = False result = a or b print(result) # Output: True
not
):The logical NOT operator returns True
if the operand is False
, and False
if the operand is True
.
a = True result = not a print(result) # Output: False
When logical operators are used with non-boolean values, they return one of the operands, depending on the truthiness of the values.
and
operator:True
or truthy, the second operand is returned.False
or falsy, the first operand is returned.or
operator:True
or truthy, the first operand is returned.False
or falsy, the second operand is returned.a = 10 b = 20 result = a and b print(result) # Output: 20 result = a or b print(result) # Output: 10
Logical operators are often used in conjunction with comparison operators to create more complex conditions.
a = 10 b = 5 c = 15 # Check if a is between b and c result = a > b and a < c print(result) # Output: True # Check if a is equal to b or c result = a == b or a == c print(result) # Output: False
In conclusion, logical operators in Python are used to combine the results of boolean expressions, making it easy to create complex conditions and control structures. When used with non-boolean values, logical operators return one of the operands based on their truthiness. Combining logical operators and comparison operators allows you to create more advanced and flexible conditions in your Python code.
Using and
, or
, and not
in Python:
and
, or
, and not
are logical operators in Python used for logical conjunction, disjunction, and negation, respectively.x = True y = False and_result = x and y # Result: False or_result = x or y # Result: True not_result = not x # Result: False
Combining conditions with logical AND
in Python:
and
(&&
in some other languages) returns True
only if both conditions are True
.age = 25 is_adult = age >= 18 has_id = True can_enter_club = is_adult and has_id # Result: True
Using logical OR
for multiple conditions in Python:
or
(||
in some other languages) returns True
if at least one of the conditions is True
.is_weekend = True is_holiday = False can_relax = is_weekend or is_holiday # Result: True
Negating conditions with logical NOT
in Python:
not
(!
in some other languages) negates the given condition.is_raining = True take_umbrella = not is_raining # Result: False
Order of evaluation with logical operators in Python:
x = True y = False z = True result = x and (y or z) # Result: True
Chaining logical operators for complex conditions:
age = 25 has_license = True can_drive = age >= 18 and has_license # Result: True
Short-circuiting and lazy evaluation in Python:
and
is False
, or the first operand of or
is True
, the second operand is not evaluated.x = False y = some_function() # Assume this function returns True result = x and y # Short-circuiting occurs, y is not evaluated
Comparing bitwise operators and logical operators in Python:
&
, |
, ^
, ~
) operate on individual bits, whereas logical operators (and
, or
, not
) work on entire values. Logical operators are used for boolean conditions, while bitwise operators are used for low-level bit manipulation.x = True y = False logical_and_result = x and y # Result: False bitwise_and_result = x & y # Result: 0 (bitwise AND)