Learning About Python Data Types
When a variable is created by an assignment such as variable = value, Python determines and assigns a data type to the variable. A data type defines how the variable is stored and the rules governing how the data can be manipulated. Python uses the value assigned to the variable to determine its type.
So far, this hour has focused on strings of characters. When the Python statement coffee_cup = 'tea' was entered, Python saw the characters in quotation marks and determined the variable coffee_cup to be a string literal data type, or str. Table 4.2 lists a few of the basic data types Python assigns to variables.
TABLE 4.2 Python Basic Data Types
Data Type |
Description |
float |
Floating-point number |
int |
Integer |
long |
Long integer |
str |
Character string or string literal |
You can determine what data type Python has assigned to a variable by using the type function. In Listing 4.22, you can see that the variables have been assigned two different data types.
LISTING 4.22 Assigned Data Types for Variables
>>> coffee_cup = 'coffee' >>> type (coffee_cup) <class 'str'> >>> cups_consumed = 3 >>> type (cups_consumed) <class 'int'> >>>
Python assigned the data type str to the variable coffee_cup because it saw a string of characters between quotation marks. However, for the cups_consumed variable, Python saw a whole number, and thus it assigned it the integer data type, int.
Making a small change in the cups_consumed variable assignment statement causes Python to change its data type. In Listing 4.23, the number assigned to cups_consumed is reassigned from 3 to 3.5. This causes Python to reassign the data type to cups_consumed from int to float.
LISTING 4.23 Changed Data Types for Variables
>>> cups_consumed = 3 >>> type (cups_consumed) <class 'int'> >>> cups_consumed = 3.5 >>> type (cups_consumed) <class 'float'> >>>
You can see that Python does a lot of the “dirty work” for you. This is one of the many reasons Python is so popular.