Python data types check

Mabel 40 Published: 12/17/2024

Python data types check

I'll respond in English for now.

Python is a high-level programming language that has several built-in data types. These data types determine the type of value a variable can hold and the operations that can be performed on it. Here's an overview of Python's main data types:

Integers (int): Whole numbers, either positive, negative, or zero, such as 1, -5, or 0.

Example: x = 5 is an integer variable.

Floats (float): Decimal numbers, such as 3.14 or -0.5.

Example: y = 3.14159 is a float variable.

Strings (str): Series of characters, such as text, including special characters and whitespace. Strings can be enclosed in single quotes ' or double quotes ", but it's recommended to use single quotes for consistency.

Examples:

name = 'John' greeting = "Hello World!" Boolean (bool): Logical values that can be either True or False. Boolean values are used to represent conditional statements and logical operations.

Example: is_admin = True is a boolean variable indicating whether the user is an administrator.

List (list): Ordered collections of items that can be of any data type, including strings, integers, floats, and other lists.

Example:

colors = ['red', 'green', 'blue'] numbers = [1, 2, 3, 4] Tuple (tuple): Ordered collections of items that can be of any data type, similar to lists. However, tuples are immutable, meaning they cannot be changed after creation.

Example:

person = ('John', 'Doe') coordinates = (3.14, -0.5) Dictionary (dict): Unordered collections of key-value pairs, where each key is unique and maps to a specific value.

Example:

user_info = {'name': 'John', 'age': 30} product_prices = {'apple': 1.99, 'banana': 0.49} Set (set): Unordered collections of unique items that can be of any data type.

Example:

unique_colors = {'red', 'green', 'blue'} None: A special value indicating the absence of a value or null.

Example: x = None is a variable with no assigned value.

These are the primary built-in data types in Python, and understanding them is essential for writing effective programs.

How do you print the data type in Python?

In Python, printing the data type of a variable is quite straightforward. There are several ways to achieve this, and I'll cover them in detail.

Method 1: Using type() function

One way to print the data type is by using the built-in type() function. This function returns the type of an object. Here's how you can use it:

variable = "Hello"

print(type(variable))

When you run this code, you'll see that the output will be something like <class 'str'>, indicating that the variable is a string.

Method 2: Using print() function with % operator

Another way to print the data type is by using the print() function in combination with the % operator. This method is less commonly used today, but it's still valid:

variable = "Hello"

print("Type of variable is %s" % (type(variable)))

When you run this code, you'll see that the output will be something like Type of variable is <class 'str'>, indicating that the variable is a string.

Method 3: Using f-strings

In Python 3.6 and later versions, you can use f-strings (formatted strings) to print the data type:

variable = "Hello"

print(f"Type of variable is {type(variable)}")

When you run this code, you'll see that the output will be something like Type of variable is <class 'str'>, indicating that the variable is a string.

Method 4: Using inspect() module

If you need to print the data type and its underlying object information (like memory address), you can use the inspect module:

import inspect

variable = "Hello"

print(inspect.gettype(variable))

When you run this code, you'll see that the output will be something like <class 'str'>, indicating that the variable is a string. Additionally, it will print the memory address and other information about the object.

In summary, there are several ways to print the data type of a variable in Python: using type() function, print() function with % operator, f-strings, or inspect module. Each method has its own advantages and disadvantages, so choose the one that best fits your needs!