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Python logical operators

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.

  • Logical AND (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
  • Logical OR (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
  • Logical NOT (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
  • Using logical operators with non-boolean values:

When logical operators are used with non-boolean values, they return one of the operands, depending on the truthiness of the values.

  • For the and operator:
    • If the first operand is True or truthy, the second operand is returned.
    • If the first operand is False or falsy, the first operand is returned.
  • For the or operator:
    • If the first operand is True or truthy, the first operand is returned.
    • If the first operand is 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
  • Combining logical operators and comparison operators:

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.

  1. Using and, or, and not in Python:

    • Description: and, or, and not are logical operators in Python used for logical conjunction, disjunction, and negation, respectively.
    • Code:
    x = True
    y = False
    
    and_result = x and y  # Result: False
    or_result = x or y    # Result: True
    not_result = not x     # Result: False
    
  2. Combining conditions with logical AND in Python:

    • Description: Logical and (&& in some other languages) returns True only if both conditions are True.
    • Code:
    age = 25
    is_adult = age >= 18
    has_id = True
    
    can_enter_club = is_adult and has_id  # Result: True
    
  3. Using logical OR for multiple conditions in Python:

    • Description: Logical or (|| in some other languages) returns True if at least one of the conditions is True.
    • Code:
    is_weekend = True
    is_holiday = False
    
    can_relax = is_weekend or is_holiday  # Result: True
    
  4. Negating conditions with logical NOT in Python:

    • Description: Logical not (! in some other languages) negates the given condition.
    • Code:
    is_raining = True
    
    take_umbrella = not is_raining  # Result: False
    
  5. Order of evaluation with logical operators in Python:

    • Description: Logical operators are evaluated from left to right. Parentheses can be used to control the order of evaluation.
    • Code:
    x = True
    y = False
    z = True
    
    result = x and (y or z)  # Result: True
    
  6. Chaining logical operators for complex conditions:

    • Description: Logical operators can be combined to create complex conditions by chaining them together.
    • Code:
    age = 25
    has_license = True
    
    can_drive = age >= 18 and has_license  # Result: True
    
  7. Short-circuiting and lazy evaluation in Python:

    • Description: Python uses short-circuit evaluation, meaning if the first operand of and is False, or the first operand of or is True, the second operand is not evaluated.
    • Code:
    x = False
    y = some_function()  # Assume this function returns True
    
    result = x and y  # Short-circuiting occurs, y is not evaluated
    
  8. Comparing bitwise operators and logical operators in Python:

    • Description: Bitwise operators (&, |, ^, ~) 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.
    • Code:
    x = True
    y = False
    
    logical_and_result = x and y  # Result: False
    bitwise_and_result = x & y    # Result: 0 (bitwise AND)