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Python Fundamentals
  • Python Variables
  • Python Operators
  • Python Input-Output
  • Python Type Conversion
Python Data Types
  • Python Strings
  • Python List
  • Python Tuple
  • Python Dictionnaries
  • Python Sets
Python Flow Control
  • Python Conditions
  • Python For Loop
  • Python While Loop
  • Python Break and Continue
Python Functions
  • Python Functions
  • Python Arguments
  • Python Functions Scope
  • Python Recursion
Python Classes
  • Python Classes
  • Python Classes and Static Methods
  • Python Properties
  • Python Decorators
  • Python Error Handling

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Python Lists: A Complete IntroductionWhat Is a List?Creating a ListAccessing Elements in a ListModifying a ListCommon List Operations
Adding ElementsRemoving Elements
Slicing a ListIterating Through a ListChecking for MembershipList ComprehensionSorting and ReversingNested ListsUseful List FunctionsSummary
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      Python List

      Python Lists: A Complete Introduction

      Lists are one of the most versatile and commonly used data types in Python. They allow you to store and manipulate a collection of items in a single variable.


      What Is a List?

      A list is an ordered collection of items that can hold elements of any data type - strings, numbers, other lists, or even mixed types.

      my_list = [1, 2, 3, "hello", [4, 5]]
      
      • Lists are mutable, meaning you can change their contents after creation.
      • They are defined using square brackets [].
      • Each element is separated by a comma.

      Creating a List

      You can create an empty list or a list with elements:

      empty_list = []
      numbers = [10, 20, 30]
      fruits = ["apple", "banana", "cherry"]
      

      Accessing Elements in a List

      You can access elements using indexing, where the first element has index 0:

      fruits = ["apple", "banana", "cherry"]
      print(fruits[0])  # Output: apple
      print(fruits[2])  # Output: cherry
      

      You can also use negative indexing to access elements from the end:

      print(fruits[-1])  # Output: cherry
      print(fruits[-2])  # Output: banana
      

      Modifying a List

      Lists are mutable, so you can change their content:

      fruits = ["apple", "banana", "cherry"]
      fruits[1] = "blueberry"
      print(fruits)  # Output: ['apple', 'blueberry', 'cherry']
      

      Common List Operations

      Here are some useful operations and methods for working with lists:

      Adding Elements

      fruits = ["apple", "banana"]
      fruits.append("cherry")
      print(fruits)  # Output: ['apple', 'banana', 'cherry']
      
      fruits.insert(1, "orange")
      print(fruits)  # Output: ['apple', 'orange', 'banana', 'cherry']
      

      Removing Elements

      fruits = ["apple", "banana", "cherry"]
      fruits.remove("banana")
      print(fruits)  # Output: ['apple', 'cherry']
      
      popped = fruits.pop()
      print(popped)  # Output: cherry
      print(fruits)  # Output: ['apple']
      

      Slicing a List

      You can extract a portion of a list using slicing:

      numbers = [0, 1, 2, 3, 4, 5]
      print(numbers[1:4])  # Output: [1, 2, 3]
      print(numbers[:3])   # Output: [0, 1, 2]
      print(numbers[3:])   # Output: [3, 4, 5]
      

      Iterating Through a List

      You can use a for loop to go through each item:

      fruits = ["apple", "banana", "cherry"]
      for fruit in fruits:
          print(fruit)
      

      Output:

      apple
      banana
      cherry
      

      Checking for Membership

      Use in to check if an item is in the list:

      fruits = ["apple", "banana", "cherry"]
      print("banana" in fruits)  # Output: True
      print("grape" in fruits)   # Output: False
      

      List Comprehension

      List comprehension is a concise way to create lists:

      squares = [x**2 for x in range(5)]
      print(squares)  # Output: [0, 1, 4, 9, 16]
      

      This is equivalent to:

      squares = []
      for x in range(5):
          squares.append(x**2)
      

      Sorting and Reversing

      You can sort and reverse lists easily:

      numbers = [3, 1, 4, 2]
      numbers.sort()
      print(numbers)  # Output: [1, 2, 3, 4]
      
      numbers.reverse()
      print(numbers)  # Output: [4, 3, 2, 1]
      

      Note: sort() modifies the list in-place. Use sorted(numbers) to get a new sorted list.


      Nested Lists

      Lists can contain other lists:

      matrix = [
          [1, 2],
          [3, 4],
          [5, 6]
      ]
      
      print(matrix[1])     # Output: [3, 4]
      print(matrix[1][0])  # Output: 3
      

      Useful List Functions

      • len(list) – number of elements
      • max(list) – largest item (numbers or alphabetical)
      • min(list) – smallest item
      • sum(list) – sum of all elements (if numeric)
      numbers = [10, 20, 30]
      print(len(numbers))  # Output: 3
      print(sum(numbers))  # Output: 60
      

      Summary

      • Lists are ordered, mutable collections.
      • You can access, modify, slice, and iterate through them.
      • Use methods like append(), insert(), remove(), and pop() for common tasks.
      • List comprehension makes list creation concise and powerful.
      • You can sort, reverse, and nest lists for more advanced structures.

      Understanding lists is essential to mastering Python. They're foundational for almost every project or script you'll write.

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