What is List In Python: Learn List in Python (With Example)

Python Lists

Lists in Python are a good place to start your programming journey if you want to become a Python developer or want to make a career in data science. Lists in Python are flexible data structures that allow you to store a collection of items in a single variable. Unlike arrays, lists in Python can hold items of different data types, and their size can change dynamically. You can create lists of lists in Python, enabling multi-dimensional data representation.

In this Python Tutorial, we'll discuss how they work, their various methods and functions, Python Lists, list methods in Python, list operations in Python with examples, lists in Python examples, and how to create a list in Python.

What is a List in Python?

A list is a versatile data structure in Python that may hold a collection of objects of various data types. It is a mutable data type in Python, which means that its elements can be changed after they are created.Lists are represented by square brackets [] and their elements by commas.

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How to Create a List in Python?

• In Python, creating a list is as simple as containing a sequence of things within square brackets ([]) and separating each item with a comma.
• Lists are adaptable data structures that may store a wide range of elements such as integers, texts, floating-point values, and even other lists.

Example of List in Python

fruits = ["apple", "banana", "cherry"]
print(fruits)

This code in the Python Online Compiler creates and prints a list of fruits (apple, banana, and cherry).

Output

['apple', 'banana', 'cherry']

Accessing list elements in Python

• Accessing list elements in Python requires understanding how to use Python's indexes.
• With indexing, the developer can access each list element quickly and easily by specifying its position in the list.
• This can be done using integers or negative numbers. Integers start from 0 and move up to the length of the list minus one, while negative numbers start from -1 and move down to -len(list).
• Knowing this, accessing individual values or even slices of a list becomes a breeze by accessing the right index or range of indexes.
• Accessing list elements in Python enables greater control over data manipulation within the code.

Example of Accessing List in Python

fruits = ["apple", "banana", "cherry"]
# Accessing the first element (index 0) in the list
first_fruit = fruits[0]
print(first_fruit)  # Output: apple
# Accessing the second element (index 1) in the list
second_fruit = fruits[1]
print(second_fruit)  # Output: banana

This code creates a list of fruits, then accesses and prints the first entry ("apple") from the list, followed by accessing and printing the second element ("banana").

Output

apple
banana

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Update List in Python

• Updating a list in Python is essential to developing programs and applications.
• List updates allow the programmer to easily move, alter, and modify data stored in the list such as strings and values.
• This process helps make programming more time-efficient and can simplify coding tasks.
• List updates are closely related to array-based operations, but provide an even greater level of control over the representation and use of any given list.
• Keeping lists updated ensures that Python code runs optimally without disruption or errors.
• List update syntax within Python language offers a great way for developers to customize their applications for each use case; making python one of the most powerful programming languages available today.

Example of Updating list in Python

fruits = ["apple", "banana", "cherry"]# Updating the second element (index 1) in the list
fruits[1] = "orange"
# Printing the updated list
print(fruits)  # Output: ['apple', 'orange', 'cherry']

The code in this example in the Python Compiler modifies the second entry of the fruits list by giving the value "orange" to fruits[1]. The updated list is then printed from the resulting list.

Output

['apple', 'orange', 'cherry']

Remove element from a list in Python

• Delete List Elements in Python is easy to do.
• By using the del() method or the pop() method the developer can eliminate values from a given list.
• The del() method will allow the user to completely remove an element from a list, while pop() allows its users to temporarily delete an element and store its value in another variable if desired.
• When using either of these methods it is important to consider their indexing system, which starts at 0, so depending on how many elements a list has will affect the indexes available.
• Delete List Elements in Python gives the convenience of having complete control over what elements are still part of a list, when changes need to be made it can be done quickly and without complication.

Example of Removing Element from List in Python

fruits = ["apple", "banana", "cherry"]
# Removing the second element (index 1) from the list
removed_fruit = fruits.pop(1)
# Printing the updated list and the removed element
print(fruits)         # Output: ['apple', 'cherry']
print(removed_fruit)  # Output: banana

The pop method is used in this example in the Python Editor to remove the element at index 1 (the second element, "banana") from the fruits list. The removed element is saved in the variable removed_fruit, and both the updated list and the removed element are printed.

Output

['apple', 'cherry']
banana

Reversing a List

• In Python, reversing a list involves flipping its elements' positions so that the final element becomes the first and vice versa.
• The 'reverse()' method of a list or the '[::-1]' slicing notation, which both produce a reversed duplicate of the original list, can be used to do this.

1. A list can be reversed by using the reverse() method in Python.
2. Using the reversed() function:

Example of Reversing a List in Python

fruits = ["apple", "banana", "cherry"]
# Reversing the order of elements in the list
fruits.reverse()
# Printing the reversed list
print(fruits)  # Output: ['cherry', 'banana', 'apple']

In this example, the fruit list is modified by reversing the order of its items using the reverse method. The list is then reversed and printed.

Output

['cherry', 'banana', 'apple']

Basic List Operations

• Working with basic lists in Python is a great way to start introducing more advanced coding concepts.
• It allows the developer to manipulate data and create basic structures that are essential for solving programming challenges.
• Basic list operations in Python include performing basic arithmetic on the numbers contained within a list, accessing elements of an existing list, replacing elements of a list, rearranging elements of a list, concatenating multiple lists together, and duplicating specific entries in a list.

fruits = ["apple", "banana", "cherry"]
# Finding the length of the list
length_of_fruits = len(fruits)
# Printing the length of the list
print(length_of_fruits)  # Output: 3

3

        # Using the list() constructor to create a list
numbers = list([1, 2, 3, 4, 5])
# Printing the created list
print(numbers)  # Output: [1, 2, 3, 4, 5]

1
2
3
4
5

# String List Example
fruits = ["apple", "banana", "cherry"]
print(fruits)

['apple', 'banana', 'cherry']

# Indexing Example
fruits = ["apple", "banana", "cherry"]
print(fruits[0])  # Access the first item

apple

# Slicing Example
fruits = ["apple", "banana", "cherry", "date", "elderberry"]
print(fruits[1:4])  # Slicing from index 1 to 3 (4 is excluded)

['banana', 'cherry', 'date']

# Modifying List Example
fruits = ["apple", "banana"]
fruits += ["cherry", "date"]  # Adding more items to the list
print(fruits)

fruits = fruits * 2  # Repeating the list twice
print(fruits)

['apple', 'banana', 'cherry', 'date']
['apple', 'banana', 'cherry', 'date', 'apple', 'banana', 'cherry', 'date']

# Constructing List Example
fruits = ["apple", "banana", "cherry"]
print(fruits)

['apple', 'banana', 'cherry']

# Duplicate Items in List Example
fruits = ["apple", "banana", "apple", "cherry"]
print(fruits)

['apple', 'banana', 'apple', 'cherry']

# List Length Example
fruits = ["apple", "banana", "cherry"]
print(len(fruits))

3

# List with Different Data Types Example
mixed_list = [1, "apple", 3.14, True, ["a", "b", "c"]]
print(mixed_list)

[1, 'apple', 3.14, True, ['a', 'b', 'c']]

# list() Constructor Example
my_string = "hello"
my_list = list(my_string)
print(my_list)

['h', 'e', 'l', 'l', 'o']

# Using Arrays from array Module Example
import array
arr = array.array('i', [1, 2, 3, 4])
print(arr)

array('i', [1, 2, 3, 4])

# Nested List Example
nested_list = [["apple", "banana"], ["cherry", "date"]]
print(nested_list)

# Accessing elements in nested lists
print(nested_list[0][1])  # Accessing 'banana'

[['apple', 'banana'], ['cherry', 'date']]
banana

# Basic List Example
fruits = ["apple", "banana", "cherry"]

# Accessing an element
print(fruits[1])  # Outputs 'banana'

# Modifying a list
fruits.append("date")  # Adding "date" to the list
print(fruits)

# Removing an element
fruits.remove("banana")  # Removing "banana"
print(fruits)

# Iterating through the list
for fruit in fruits:
    print(fruit)

banana
['apple', 'banana', 'cherry', 'date']
['apple', 'cherry', 'date']
apple
cherry
date

fruits = ["apple", "banana", "cherry"]
# Iterating through each element in the list
for fruit in fruits:
    print(fruit)

apple
banana
cherry