Here is a table that summarizes the built-in data types in Python, the methods for setting the data type, and examples of each type:
Data Type | Setting the Data Type | Example |
---|---|---|
Integer | int keyword or by using int() function | x = 42
y = int(3.14) |
Float | float keyword or by using float() function | x = 3.14
y = float(42) |
String | Using quotes (single or double) | x = "Hello, World!"
y = 'Hello, World!' |
Boolean | True or False | x = True
y = False |
List | Square brackets [] with values separated by commas | x = [1, 2, 3]
y = ['a', 'b', 'c'] |
Tuple | Parentheses () with values separated by commas | x = (1, 2, 3) <br>y = ('a', 'b', 'c') |
Dictionary | Curly braces {} with keys and values separated by colons | x = {'a': 1, 'b': 2, 'c': 3}
y = {1: 'a', 2: 'b', 3: 'c'} |
Set | Curly braces {} with values separated by commas | x = {1, 2, 3}
y = {'a', 'b', 'c'} |
It's important to note that in Python, variables do not have a specific data type, but the value they hold has a data type. So, the type of a variable can change dynamically as you assign new values to it.
For example:
pythonx = 42
print(type(x)) # <class 'int'>
x = "Hello, World!"
print(type(x)) # <class 'str'>
In most cases, you don't need to set the specific data type in Python, as the type is automatically determined for you. However, in some cases, you may need to explicitly convert a value to a specific data type, as I described in my previous answer.
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