Data Types

Data is information stored by the computer. In Python, we have many different types of data: strings, integers, floating numbers, boolean, and some others (that we won’t cover in this course). You can check the type of data of an object by using type( ). ( Make sure to put the object between the parentheses!)

Strings are a series of characters. Examples: "I went to the store", "i", "12345", and "#^*&#)^&"
Integers are normal numbers, like -1, 0, 1, 2, 3, 100. They can’t have any decimals.
Floating numbers are decimal numbers: 1.2, 5.4, 2.6, 1.8
- 5.0 might look like an integer, but since there’s a decimal point, it’s a float, even if there’s nothing after the decimal point
Booleans: True or False (We’ll go deeper into booleans later in the course, for now just know that they exist)

<aside> 🚨 Case matters in Python! True and False are syntactically correct, while true and false are syntactically incorrect.

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Example code:

# *strings are a series of characters*
# they are in single or double quotes

print("Jane")
print('Doe')

# *integers are whole numbers (positive, negative, and 0)*
print(25)

# *floating point numbers (floats) are numbers with decimals)*
print(16.54)

*# booleans are either true or false*
print(True)
print(False)

View code on GitHub.

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Ch. 1 Intro to Python

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2.2 Variables

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