<jupyter_start><jupyter_text>Boolean Data Type---Boolean is named after Mathematician [George Boole](https://en.wikipedia.org/wiki/George_Boole). The Boolean data type allow us to implement logic in our code by simplifying statements to be either True or False. Boolean in Python 3There are two Boolean data-typed possible values in Python.- ```True```- ```False```__Usage:__- Boolean is a built-in data type much like: integer, floating points, strings and lists.- We can set variables with Boolean values- We can get them as a result from Comparison, Logical, and Membership operations- Certain functions and methods will result in a Boolean value as well Truthy and Falsy Values in Python 3In programming (Python), certain values can be also True or False in Conditional Situations. We call these __Truthy__ or __Falsy values__.The rules are as follows:- Idea of Emptiness is ```False``` → Keyword: ```None``` is ```False```- Therefore, ```0, '', "" , []``` are all empty → False- 1 represents “ON” in binary → ```True```; 0 → ```False```- Lastly, __ANY NON-FALSY__ values are True Type Conversion Function: ```bool()```The built-in function to convert one data value to Boolean is: ```bool()```<jupyter_code># Example

print('bool(\'\'):', bool('')) # Empty String
print('bool("Hello"):', bool("Hello")) # Non-Empty String
print('bool([]):', bool([]))
print('bool(1):', bool(1))
print('bool(0):', bool(0))<jupyter_output>bool(''): False
bool("Hello"): True
bool([]): False
bool(1): True
bool(0): False
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