Python Data Types: Beginner Python Tutorials 4

What are Python Data Types? Python is a popular programming language that is known for its simplicity and ease of use. One of the key features of Python is its support for various data types, which are used to represent different types of values. In this article, we’ll explore some of the most common data types in Python and provide examples of how to use them effectively.

Numeric Python Data Types

Python supports two main numeric data types:

Integers: Integers are whole numbers, such as 1, 2, 3, etc. They are defined using the int() function.

x = 5
print(type(x)) # Output: 

Floats: Floats are decimal numbers, such as 3.14, 2.7, etc. They are defined using the float() function.

y = 3.14
print(type(y)) # Output: 

Sequence Python Data Types

Python supports three main sequence data types:

Lists: Lists are used to store a collection of values in a single variable. They are defined using square brackets [].

my_list = [1, 2, 3, "hello", True]
print(my_list) # Output: [1, 2, 3, 'hello', True]

Tuples: Tuples are similar to lists but are immutable, meaning their values cannot be changed once they are defined. They are defined using parentheses ().

my_tuple = (1, 2, 3, "hello", True)
print(my_tuple) # Output: (1, 2, 3, 'hello', True)

Strings: Strings are used to store text or a sequence of characters. They are defined using single or double quotes.

my_string = "Hello, world!"
print(my_string) # Output: Hello, world!

Boolean Python Data Types

Python has a single Boolean data type, which represents a logical value. It can have two possible values, True or False.

x = True
y = False
print(type(x)) # Output: 

Conclusion

Python provides a variety of data types to represent different types of values. By understanding these data types and how to use them effectively, you can create powerful and flexible programs. So, be sure to familiarize yourself with Python’s data types and take advantage of their versatility.