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Python Data Structures
course content

Course Content

Python Data Structures

Python Data Structures

1. List
Creating a ListList IndexingNested ListList LengthModifying a ListThe append() MethodThe insert() MethodDeleting ElementsThe remove() Method
2. Dictionary
Creating a DictionaryAccessing Dictionary ValuesAccessing Dictionary KeysAdding ItemsChallenge: Expand the DictionaryThe del KeywordThe pop() MethodThe popitem() MethodThe clear() Method
3. Tuple
Creating a Tuple Accessing Elements in a TupleConcatenating TuplesDeleting a TupleUpdating a TupleAdding Items to a TupleCounting Elements in a TupleFinding Elements in a Tuple
4. Set
Creating a SetThe add() MethodThe update() MethodAccessing the Elements of a SetThe remove() and discard() MethodsThe clear() Method

book
Creating a Set

A set in Python is an unordered collection of unique elements. Unlike lists or tuples, sets do not allow duplicate elements, making them ideal for operations like removing duplicates or performing mathematical set operations. Sets are mutable, meaning their elements can be added or removed, but the data inside the set must be immutable (e.g., numbers, strings, or tuples).

Note

A set cannot contain dictionaries or lists because both are mutable data types.

There are two main ways to create a set in Python:

  1. Using curly braces {} with elements separated by commas;
  2. Using the set() function.

Here are some key points about sets:

  • They are mutable: you can add or remove elements from a set, but the set itself must contain immutable elements;
  • Duplicate Elements: if duplicate elements are added to a set, they are automatically removed;
  • Unordered: the order of elements in a set is not guaranteed and may vary;
  • Diverse Data Types: sets can contain elements of different data types, such as strings, integers, or tuples.

Let's define a set using the set() function:


              
123

            
# Creating a set which contains strings
movie_set = set("Interstellar")
print(movie_set)
copy

Next, let's define a set of popular movies using curly braces:


              
123

            
# Creating a set of movies using curly braces
movies = {"Inception", "Interstellar", "Tenet", "Dunkirk", "Tenet"}
print(movies)
copy

Duplicate entries like "Tenet" are removed automatically when the set is created.

Limitations When Creating Sets

The syntax for creating a set using the set() function has specific requirements. If you attempt to pass multiple arguments directly, such as:

You will encounter a TypeError, because the set() function expects a single iterable as its argument, not multiple separate values.

To create a set with multiple elements, you need to provide them as a single iterable:


              
123

            
# Using a list `[]`
movies = set(["Tenet", "Dunkirk", "Inception"])
print(movies)
copy

              
123

            
# Using a tuple `(,)`
movies = set(("Tenet", "Dunkirk", "Inception"))
print(movies)
copy
Task
test

Swipe to show code editor

Create a set named favorite_movies containing the titles of at least two of your favorite movies. Print the set to verify its contents.

Solution

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Section 4. Chapter 1
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book
Creating a Set

A set in Python is an unordered collection of unique elements. Unlike lists or tuples, sets do not allow duplicate elements, making them ideal for operations like removing duplicates or performing mathematical set operations. Sets are mutable, meaning their elements can be added or removed, but the data inside the set must be immutable (e.g., numbers, strings, or tuples).

Note

A set cannot contain dictionaries or lists because both are mutable data types.

There are two main ways to create a set in Python:

  1. Using curly braces {} with elements separated by commas;
  2. Using the set() function.

Here are some key points about sets:

  • They are mutable: you can add or remove elements from a set, but the set itself must contain immutable elements;
  • Duplicate Elements: if duplicate elements are added to a set, they are automatically removed;
  • Unordered: the order of elements in a set is not guaranteed and may vary;
  • Diverse Data Types: sets can contain elements of different data types, such as strings, integers, or tuples.

Let's define a set using the set() function:


              
123

            
# Creating a set which contains strings
movie_set = set("Interstellar")
print(movie_set)
copy

Next, let's define a set of popular movies using curly braces:


              
123

            
# Creating a set of movies using curly braces
movies = {"Inception", "Interstellar", "Tenet", "Dunkirk", "Tenet"}
print(movies)
copy

Duplicate entries like "Tenet" are removed automatically when the set is created.

Limitations When Creating Sets

The syntax for creating a set using the set() function has specific requirements. If you attempt to pass multiple arguments directly, such as:

You will encounter a TypeError, because the set() function expects a single iterable as its argument, not multiple separate values.

To create a set with multiple elements, you need to provide them as a single iterable:


              
123

            
# Using a list `[]`
movies = set(["Tenet", "Dunkirk", "Inception"])
print(movies)
copy

              
123

            
# Using a tuple `(,)`
movies = set(("Tenet", "Dunkirk", "Inception"))
print(movies)
copy
Task
test

Swipe to show code editor

Create a set named favorite_movies containing the titles of at least two of your favorite movies. Print the set to verify its contents.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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