In Python, the Boolean data type represents truth values, which are either True or False. Boolean values are commonly used in conditional statements and expressions to control the flow of a program.
Here's a brief overview of Boolean data type and logical operators in Python:
1. Boolean Data Type: In Python, the Boolean data type has two possible values: True and False. These are keywords in Python and must be capitalized.
x = True
y = False
2. Logical Operators: Python provides three main logical operators for working with Boolean values: `and`, `or`, and `not`.
- `and`: Returns True if both operands are True. - `or`: Returns True if at least one of the operands is True. - `not`: Returns the opposite Boolean value of the operand.
# and operator
print(True and True) # Output: True
print(True and False) # Output: False
# or operator
print(True or False) # Output: True
print(False or False) # Output: False
# not operator
print(not True) # Output: False
print(not False) # Output: True
3. Comparison Operators: Comparison operators (`<`, `>`, `⇐`, `>=`, `==`, `!=`) are often used to compare values and produce Boolean results.
x = 5
y = 10
print(x < y) # Output: True
print(x == y) # Output: False
4. Boolean Context: In Python, any object can be tested for truth value. Certain values such as empty sequences (`'', [], {}`), numbers equal to 0, and `None` are considered False in Boolean context. Everything else is considered True.
print(bool(0)) # Output: False
print(bool(10)) # Output: True
print(bool([])) # Output: False
print(bool([1,2])) # Output: True
Understanding Boolean data type and logical operators is fundamental for writing conditional statements and controlling the flow of your Python programs.