List in Python – Types, Examples, and Complete Overview

A list in Python is a built-in data structure used to store multiple values in a single variable. Lists are ordered, mutable (changeable), and allow duplicate values, making them one of the most commonly used data types in Python.

Why It Matters: Lists help manage and manipulate collections of data efficiently in real-world Python programs.

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Creating a List in Python

Lists in Python are created using square brackets []. They can store elements of the same or different data types.

Examples include numeric lists, string lists, and mixed-type lists.

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Types of Lists in Python

Python does not define separate list types, but lists are commonly categorized based on how they are used.

  • Simple List: Stores elements of the same data type
  • Mixed List: Stores elements of different data types
  • Nested List: A list inside another list
  • Empty List: A list with no elements

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Accessing and Slicing List Elements

List elements are accessed using indexing, which starts from 0. Negative indexing allows access from the end of the list.

Slicing helps extract a portion of a list using a range of indexes.

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Modifying and Managing Lists

Lists are mutable, meaning their elements can be changed after creation. Python provides many built-in methods to add or remove elements.

  • Adding elements using append(), insert(), and extend()
  • Removing elements using remove(), pop(), and del
  • Sorting and reversing lists

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Looping and List Comprehension

Python allows easy iteration over lists using loops. List comprehension provides a concise and powerful way to create new lists.

List comprehensions improve readability and reduce the number of lines of code.

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Advantages, Disadvantages, and Real-World Use

Lists are flexible and powerful but may not be ideal for every situation.

  • Easy to store and modify multiple values
  • Dynamic size and rich built-in methods
  • Used in data processing, student records, and product lists

Lists are an essential part of Python programming and are widely used in both beginner and advanced applications.

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Creating a List in Python

Lists are created using square brackets [].


numbers = [1, 2, 3, 4, 5]
names = ["Alice", "Bob", "Charlie"]
mixed = [1, "Python", 3.5, True]
        

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Types of Lists in Python

Simple List


marks = [80, 85, 90, 95]
        

Mixed List


data = [101, "Python", 9.8, False]
        

Nested List


matrix = [[1, 2, 3], [4, 5, 6]]
        

Empty List


empty_list = []
        

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Accessing and Slicing List Elements


fruits = ["apple", "banana", "cherry"]

print(fruits[0])    # apple
print(fruits[-1])   # cherry
        

numbers = [10, 20, 30, 40, 50]
print(numbers[1:4])  # [20, 30, 40]
        

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Modifying and Managing Lists


fruits = ["apple", "banana", "cherry"]

fruits[1] = "mango"
fruits.append("orange")
fruits.insert(1, "grapes")
fruits.extend(["kiwi", "pear"])
        

fruits.remove("apple")
fruits.pop()
fruits.pop(1)
del fruits[0]
        

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Looping and List Comprehension


for fruit in fruits:
    print(fruit)
        

squares = [x*x for x in range(1, 6)]
print(squares)
        

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