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# 2.1 Data Types

## 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)
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Case matters in Python! `True` and `False` are syntactically correct, while `true` and `false` are syntactically incorrect.
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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