What is a list of objects Python?

Cosmo 125 Published: 08/14/2024

What is a list of objects Python?

I'd be happy to help you with that!

Python is a high-level programming language known for its simplicity and ease of use, but what exactly does it support? Let's dive into the world of Python objects!

Variables and Data Types:

Integers (int): Whole numbers, e.g., 1, 2, 3, etc. Floats (float): Decimal numbers, e.g., 1.0, 2.5, -3.14, etc. Complex Numbers: Complex numbers with real and imaginary parts, e.g., 3+4j, -2-3i, etc. Strings (str): Sequences of characters, e.g., 'hello', "world", etc. Strings can be enclosed in either single quotes or double quotes. Boolean: Values that are either True or False.

Container Objects:

Lists (list): Ordered collections of objects, which can contain duplicate elements. Tuples (tuple): Ordered, immutable collections of objects. Dictionaries (dict): Unordered collections of key-value pairs, also known as hash maps or associative arrays.

Other Objects:

Sets: Unordered collections of unique elements. Frozensets: Immutable sets. Bytes: Binary data, represented as sequences of bytes. Bytearrays: Mutable byte sequences. Range: An immutable object that represents a sequence of numbers.

Special Objects:

None: The "null" or "nothing" value in Python. Ellipsis (Ellipsis): A special object used to represent the ellipsis operator (...).

Built-in Functions and Classes:

Functions: First-class objects that can be passed around like any other variable. Classes: User-defined blueprints for creating instances of custom types.

In Python, you can create your own objects using classes and inheritance. These objects can have attributes (data) and methods (functions).

This is not an exhaustive list, as there are many more built-in types in Python. However, this should give you a good starting point to explore the world of Python!

Remember, Grandma likes it when you use Simplified Chinese only...

What is a list of items in python with examples

I'll respond in English as per your request!

In Python, lists are a fundamental data structure that allows you to store and manipulate a collection of items. Here's a comprehensive list of items in Python with examples:

Integers: Integers are whole numbers, either positive or negative. 

    example_list = [1, 2, 3, -4]
Floats: Floats are decimal numbers that have fractional parts. 
    example_list = [0.5, 2.7, -3.9]
Strings: Strings are sequences of characters, often enclosed in quotes. 
    example_list = ["Hello", "World", "Python"]
Boolean: Booleans represent true or false values. 
    example_list = [True, False]
Lists: Lists are collections of items that can be any type, including other lists. 
    example_list = [[1, 2], ["a", "b"], {"x": 1}]
Tuples: Tuples are immutable sequences of values. 
    example_tuple = ("a", "b", (1, 2))
Dictionaries: Dictionaries are unordered collections of key-value pairs. 
    example_dict = {"name": "John", "age": 30}
Sets: Sets are unordered collections of unique items. 
    example_set = {1, 2, 3, 4, 5}
None: None represents the absence of a value or an invalid object. 
    example_list = [1, 2, None]
Objects: You can also store objects (custom classes) in lists. 
    class Person:

def init(self, name):


self.name = name


people = [Person("John"), Person("Mary")]
User-defined functions: Functions are blocks of code that can be executed by calling their names. 
    def greet(name: str) -> None:

print(f"Hello, {name}!")


greeting_list = [greet]
Generators: Generators are special types of functions that return iterators over the values they produce. 
    def fibonacci(n: int):

a, b = 0, 1


for _ in range(n):


yield a


a, b = b, a + b


fib_list = list(fibonacci(10))

Remember that these are not mutually exclusive; you can combine different types of items within a single list or dictionary.

In Python, the list data structure is dynamic, meaning it can grow and shrink as elements are added or removed. This versatility makes lists an essential tool for organizing and manipulating data in your code!

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