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Python Booleans

Python Tutorial

Introduction

Python Data Types & Oper...

Python Strings

Python Lists

Python Tuples

Python Sets

Python Dictionaries

Conditional Statements

Python Loops

Python Functions

Python Modules

Python OOPS

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File Handling

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Python Booleans

Python Booleans

Booleans in Python represent truth values—only two exist:

True
False

Though small in appearance, Booleans are powerful tools in decision-making logic.

Why Use Booleans?

Booleans help you evaluate conditions in your code. Take a look at this basic example:

				
					x = 13

if x > 13:
    print("X is a prime number.")
else:
    print("X is not a prime number.")

Here, the expression x > 13 returns a Boolean value. Since 13 > 13 is false, the code inside the else block runs.

The bool() Function

Python has a built-in function called bool() which evaluates any value and converts it to True or False. Here’s how different data types behave:

Booleans with None

				
					print("None as Boolean:", bool(None))  # False

Booleans with Numbers

				
					print("Zero:", bool(0))             # False
print("Positive integer:", bool(14))  # True
print("Negative float:", bool(-2.5))  # True
print("Complex number:", bool(1 + 1j))  # True

Zero is always False.
Any non-zero number (int, float, complex) is True.

Booleans with Strings

				
					print("Non-empty string:", bool("Learn With Arshyan"))  # True
print("String with digits:", bool("42"))                # True
print("Empty string:", bool(""))                        # False

Any string that has content (even spaces or numbers) is True.
An empty string is False.

Booleans with Lists

				
					print("Empty list:", bool([]))               # False
print("List with elements:", bool([0, 1]))   # True

Booleans with Tuples

				
					print("Empty tuple:", bool(()))                         # False
print("Tuple with data:", bool(("Python", 3.10)))       # True

Booleans with Dictionaries and Sets

				
					print("Empty dictionary:", bool({}))                  # False
print("Non-empty dictionary:", bool({"key": "value"}))  # True

print("Empty set:", bool(set()))                      # False
print("Non-empty set:", bool({"apple", "banana"}))    # True

Summary

Data Type	Example	Boolean Value
`None`	`None`	`False`
Integer	`0` / `23`	`False` / `True`
Float	`0.0` / `3.14`	`False` / `True`
Complex	`0j` / `5+2j`	`False` / `True`
String	`""` / `"Hello"`	`False` / `True`
List	`[]` / `[1, 2]`	`False` / `True`
Tuple	`()` / `(3,)`	`False` / `True`
Dictionary	`{}` / `{"a": 1}`	`False` / `True`
Set	`set()` / `{"x", "y"}`	`False` / `True`

Final Note

Booleans are everywhere in Python—from if statements to loops and function checks. Mastering how values evaluate to True or False is key to writing logical, bug-free code.

Keep experimenting. Even something as small as bool("") can teach you a lot about how Python sees your data.