A type classifies values and helps determine which operations and behaviors apply to them. Python values can be numbers, strings, Boolean values, lists, or dictionaries. section 3.8
Types matter when values move through a program:
- Functions expect arguments of suitable types; a function expecting numbers may not behave as intended with other inputs. section 3.1.2
- Choosing a collection type helps represent data such as a series of sensor readings. section 4.4
- Testing a function with different input types can reveal whether its behavior matches expectations. section 3.8
Calling a function with typed values
The call larger(3, 5) supplies two numeric arguments, stores the returned value in result, and prints 5. Replacing those arguments with unsuitable values may change the result or cause failure. section 3.1.2
