Guidelines

Data Types Representing Kinds of Data

In programming, a data type refers to the kind of data a variable or value can hold.

Examples of data types include numbers, strings, and booleans (true/false).


Key Data Types in Python

The main data types used in Python are as follows:

  1. Integer: Represents integer values.
Integer Example
5, -3, 42

  1. Float: Represents real numbers, including a decimal point.
Float Example
3.14, -0.001, 2.0

  1. String: Represents text or characters.
String Example
"Hello, World!" 'Python' "1234"

  1. Boolean: A data type that can only have the two values True or False.
Boolean Example
True False

  1. List: A data type for storing a sequence of various data types.
List Example
[1, 2, 3] ['apple', 'banana', 'cherry'] [True, 42, "Hello"]

  1. Tuple: Similar to a list but immutable, meaning its content cannot be changed once created.
Tuple Example
(1, 2, 3) ('a', 'b', 'c') (True, 'Python', 3.14)

  1. Dictionary: A data type consisting of key-value pairs with unique keys.
Dictionary Example
{'name': 'Alice', 'age': 25} {'a': 1, 'b': 2, 'c': 3}

  1. Set: A collection of unique elements without any particular order.
Set Example
{1, 2, 3} {'apple', 'banana', 'cherry'}

Why Are Data Types Important?

  • Accurate Operations: For instance, numerical types are suitable for mathematical operations and string types for text concatenations.
Incorrect Data Type Operation Example
result = "3" + 5 # Attempt to add string "3" and integer 5 print(result) # TypeError: can only concatenate str (not "int") to str
  • Enhance Code Clarity and Safety: By clearly specifying data types, the code becomes more understandable, and type errors can be reduced.
Mission
0 / 1

Among the data types used in Python, which one can have a value of True or False?

The data type that can have a value of True or False is .
Integer
String
Boolean
List

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