# Python Booleans – A data type to find two possible outcomes

In the world of computer science, Boolean is a data type that can only have two possible values either True or False. In this article, we are going to look at the Python Booleans, we will understand how to declare a boolean, the bool() function, and the operations you can perform on booleans.

## What are Python Booleans?

The Python Booleans is a basic data structure which holds either False or True values. A lot of functions only require a boolean value to return, for example, we used the isdisjoint(), issuperset() and issubset() functions. The result is only supposed to be True or False.

**Before moving ahead revise Python sets which is also a type of data structure.**

### Declaring a Boolean in Python

Booleans can be declared just like an integer. We assign either True or False to an identifier and we don’t use quotes like in a string.

**Code:**

Start = False Run = True print( type(Start) )

**Output:**

### Python bool() function

The bool() function is used to convert a value into a boolean value ( True or False). We can convert integer, strings, list, map into boolean values.

**Code:**

print( bool(0) ) print( bool(10) ) print( bool(‘’)) print( bool(‘hello’)) print( bool({1,2,3})) print( bool(()))

**Output:**

True

False

True

True

False

### Operations on Python Booleans

False is equivalent to zero and True is equivalent to 1 so we can perform various operations on booleans.

#### 1. Arithmetic Operators in Python

**1.1 Addition**

Let’s add two boolean values.

True + True | 2 |

False + True | 1 |

True + False | 1 |

False + False | 0 |

**1.2. Subtraction**

True – True | 0 |

False – True | -1 |

True – False | 1 |

False – False | 0 |

**1.3. Multiplication**

True * True | 1 |

False * True | 0 |

True * False | 0 |

False * False | 0 |

**1.4. Division**

As we know, division by zero gives us an error so dividing anything by False will also give us an exception.

**Code:**

print(True/True) print( True/False)

**Output:**

Traceback (most recent call last):

**File “<stdin>”, line 1, in <module>**

ZeroDivisionError: division by zero

**1.5. Modulus, exponentiation and Floor division**

**Code:**

print( False%True) print( True**False) print( True//True)

**Output:**

1

1

#### 2. Relational Operators in Python

All the relational operators (<,>, <=, >=, !=, ==) return boolean values after comparing. Try playing with relational operators on your own and see what output you will get.

**Code:**

print( True>=True or False>True ) print( False<True and False!=True and False==True)

**Output:**

False

#### 3. Bitwise Operators in Python

Bitwise operations are performed bit by bit on binary values. In the case of boolean values, they are treated as a single bit 1 as True and 0 as False. Bitwise operators include *&, |, ^, ~, <<, >>*.

Let’s see some bitwise operations performed on booleans:

True & False | False |

True | False | True |

True ^ False | True |

~True | -2 |

~False | -1 |

True<<True | 2 |

**If you don’t know the use of these bitwise operators check out TechVidvan’s Python bitwise operators article.**

#### 4. Logical Operators in Python

Logical operators (‘and’ and ‘or’) also work the same on boolean values.

**Code:**

print(False or True) print(False and False)

**Output:**

False

#### 5. Identity Operators in Python

At last, we will apply the boolean operations on identity operators ‘is’ and ‘is not’.

**Code:**

True is True False is 0

**Output:**

False

## Summary

In this article, we talked about the concept of Python booleans and then we saw how you can create the boolean data type, the bool() function and all the operations you can perform with them.

So this was all about TechVidvan’s Python booleans article. If you find this article helpful, do recommend us on Facebook.

Happy Learning!!