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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() MethodList ComprehensionsList Comprehansions with Conditions
2. Dictionary
Creating a DictionaryAccessing Dictionary ValuesAccessing Dictionary KeysAdding ItemsChallenge: Expand the DictionaryThe del KeywordThe pop() MethodThe popitem() MethodThe clear() MethodDictionary ComprehensionsDictionary Comprehension with Condition
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

bookDictionary Comprehension with Condition

You can include a condition in a dictionary comprehension to filter items. For example, let's create a dictionary of books published before 1950:


              
1234567891011

            
books = [
    ["Pride and Prejudice", 1813],
    ["1984", 1949],
    ["To Kill a Mockingbird", 1960],
    ["The Great Gatsby", 1925]
]

# Filter books published before 1950
books_dictionary = {title: year for title, year in books if year < 1950}

print(books_dictionary)
copy

Adding a condition allows you to filter data dynamically while creating the dictionary.

Here's the equivalent code using a for loop instead of a dictionary comprehension:


              
123456789101112131415

            
books = [
    ("Pride and Prejudice", 1813),
    ("1984", 1949),
    ("To Kill a Mockingbird", 1960),
    ("The Great Gatsby", 1925)
]

# Filter books published before 1950 using a for loop
filtered_books = {}

for title, year in books:
    if year < 1950:
        filtered_books[title] = year

print(filtered_books)
copy
Task
test

Swipe to show code editor

The bookstore wants to create a dictionary of books that cost less than $12. Use dictionary comprehension with a condition to create a new dictionary called discount_books from the following list of lists:

  1. Iterate through the books list by unpacking its elements (lists) into title and price.
  2. Apply the filter if price < 12 in the comprehension to include only books with a price below $12.

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Section 2. Chapter 11
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bookDictionary Comprehension with Condition

You can include a condition in a dictionary comprehension to filter items. For example, let's create a dictionary of books published before 1950:


              
1234567891011

            
books = [
    ["Pride and Prejudice", 1813],
    ["1984", 1949],
    ["To Kill a Mockingbird", 1960],
    ["The Great Gatsby", 1925]
]

# Filter books published before 1950
books_dictionary = {title: year for title, year in books if year < 1950}

print(books_dictionary)
copy

Adding a condition allows you to filter data dynamically while creating the dictionary.

Here's the equivalent code using a for loop instead of a dictionary comprehension:


              
123456789101112131415

            
books = [
    ("Pride and Prejudice", 1813),
    ("1984", 1949),
    ("To Kill a Mockingbird", 1960),
    ("The Great Gatsby", 1925)
]

# Filter books published before 1950 using a for loop
filtered_books = {}

for title, year in books:
    if year < 1950:
        filtered_books[title] = year

print(filtered_books)
copy
Task
test

Swipe to show code editor

The bookstore wants to create a dictionary of books that cost less than $12. Use dictionary comprehension with a condition to create a new dictionary called discount_books from the following list of lists:

  1. Iterate through the books list by unpacking its elements (lists) into title and price.
  2. Apply the filter if price < 12 in the comprehension to include only books with a price below $12.

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 2. Chapter 11
toggle bottom row

bookDictionary Comprehension with Condition

You can include a condition in a dictionary comprehension to filter items. For example, let's create a dictionary of books published before 1950:


              
1234567891011

            
books = [
    ["Pride and Prejudice", 1813],
    ["1984", 1949],
    ["To Kill a Mockingbird", 1960],
    ["The Great Gatsby", 1925]
]

# Filter books published before 1950
books_dictionary = {title: year for title, year in books if year < 1950}

print(books_dictionary)
copy

Adding a condition allows you to filter data dynamically while creating the dictionary.

Here's the equivalent code using a for loop instead of a dictionary comprehension:


              
123456789101112131415

            
books = [
    ("Pride and Prejudice", 1813),
    ("1984", 1949),
    ("To Kill a Mockingbird", 1960),
    ("The Great Gatsby", 1925)
]

# Filter books published before 1950 using a for loop
filtered_books = {}

for title, year in books:
    if year < 1950:
        filtered_books[title] = year

print(filtered_books)
copy
Task
test

Swipe to show code editor

The bookstore wants to create a dictionary of books that cost less than $12. Use dictionary comprehension with a condition to create a new dictionary called discount_books from the following list of lists:

  1. Iterate through the books list by unpacking its elements (lists) into title and price.
  2. Apply the filter if price < 12 in the comprehension to include only books with a price below $12.

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!

You can include a condition in a dictionary comprehension to filter items. For example, let's create a dictionary of books published before 1950:


              
1234567891011

            
books = [
    ["Pride and Prejudice", 1813],
    ["1984", 1949],
    ["To Kill a Mockingbird", 1960],
    ["The Great Gatsby", 1925]
]

# Filter books published before 1950
books_dictionary = {title: year for title, year in books if year < 1950}

print(books_dictionary)
copy

Adding a condition allows you to filter data dynamically while creating the dictionary.

Here's the equivalent code using a for loop instead of a dictionary comprehension:


              
123456789101112131415

            
books = [
    ("Pride and Prejudice", 1813),
    ("1984", 1949),
    ("To Kill a Mockingbird", 1960),
    ("The Great Gatsby", 1925)
]

# Filter books published before 1950 using a for loop
filtered_books = {}

for title, year in books:
    if year < 1950:
        filtered_books[title] = year

print(filtered_books)
copy
Task
test

Swipe to show code editor

The bookstore wants to create a dictionary of books that cost less than $12. Use dictionary comprehension with a condition to create a new dictionary called discount_books from the following list of lists:

  1. Iterate through the books list by unpacking its elements (lists) into title and price.
  2. Apply the filter if price < 12 in the comprehension to include only books with a price below $12.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 11
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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