Data types in Python are used to classify different types of data and define the operations that can be performed on them. In this blog post, we will take a look at the different data types in Python and how to work with them.
What are data types in Python?
In Python, there are several built-in data types that are used to store and manipulate different types of data. These data types include:
Integers: Integers are whole numbers (positive, negative, or zero) that do not have a decimal point. In Python, integers can be of unlimited size.
Floating-point numbers: Floating-point numbers, also known as “floats,” are numbers that have a decimal point. They are used to represent decimal values.
Strings: Strings are sequences of characters, such as words or sentences. They can be represented using single quotes (‘), double quotes (“), or triple quotes (“””).
Booleans: Booleans are values that can only be True or False. They are often used in conditional statements to determine the flow of a program.
Lists: Lists are arranged groups of items that may contain any type of data. They are defined using square brackets ([]) and the items are separated by commas.
Tuples: Tuples are similar to lists, but they are immutable (i.e., they cannot be modified once they are created). They are defined using parentheses (()) and the items are separated by commas.
Sets: Sets are unordered collections of unique items. They are defined using curly braces ({}) and the items are separated by commas.
Dictionaries: Dictionaries are unordered collections of key-value pairs. They are defined using curly braces ({}) and the key-value pairs are separated by commas. The keys and values can be of any data type.
It is important to note that Python is a dynamically-typed language, which means that the type of a variable (e.g., string, integer, etc.) is determined at runtime based on the value that is assigned to it.
For example:
x = 10 # x is an integer y = "Hello" # y is a string z = [1, 2, 3] # z is a list
How to work with data types in Python ?
There are several ways to work with data types in Python. Here are a few examples:
Converting data types: You can use the built-in functions int(), float(), and str() to convert data from one type to another. For example:
x = "123" y = int(x) # y is now an integer with the value 123 z = str(y) # z is now a string with the value "123"
Checking the data type of a value: You can use the type() function to check the data type of a value. For example:
x = 123 print(type(x)) # Output: <class 'int'> y = "Hello" print(type(y)) # Output: <class 'str'>
Working with lists: You can use the indexing notation
