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)

Example code:

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


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

# floating point numbers (floats) are numbers with decimals)

# booleans are either true or false

View code on GitHub.

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