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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

bookNested List

Items within a list in Python can also be lists. This forms what is called a "nested list" or "lists within lists." Nested lists are powerful in organizing elaborative data structures in that you can store multiple-level data within one list.

For instance, you might have a list where some elements are just single values, and others might be lists themselves. Here's a simple example:


              
123

            
cities = ["London", ["Paris", "Madrid"], "Rome", ["Bangkok", ["New York", "Los Angeles"]]]

print(cities)
copy

Using Variables for Nested Lists

This example illustrates a nested list in which the second and fourth elements are also lists, and the fourth element even contains another nested list within it.

You can also create nested lists by concatenating lists held in variables. This can be useful to make your code more readable. For instance:


              
1234567

            
europe_cities = ["Paris", "Berlin", "Rome"]
asia_cities = ["Tokyo", "Seoul", "Bangkok"]
america_cities = ["New York", "Los Angeles", "Chicago"]

world_cities = [europe_cities, asia_cities, america_cities]

print(world_cities)
copy

Here, we first define three independent lists for cities in Europe, Asia, and the Americas. We then combine the lists into one, world_cities, which becomes a nested list.

The example shows that a nested list is a good way to organize related data, such as cities from different continents, in a natural, intuitive, and organized manner.

Task
test

Swipe to show code editor

Extend your travel_wishlist to include additional details for each city as a nested list. Each nested list should contain the city name, the country it's located in, and the estimated cost of the trip.

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 1. Chapter 3
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bookNested List

Items within a list in Python can also be lists. This forms what is called a "nested list" or "lists within lists." Nested lists are powerful in organizing elaborative data structures in that you can store multiple-level data within one list.

For instance, you might have a list where some elements are just single values, and others might be lists themselves. Here's a simple example:


              
123

            
cities = ["London", ["Paris", "Madrid"], "Rome", ["Bangkok", ["New York", "Los Angeles"]]]

print(cities)
copy

Using Variables for Nested Lists

This example illustrates a nested list in which the second and fourth elements are also lists, and the fourth element even contains another nested list within it.

You can also create nested lists by concatenating lists held in variables. This can be useful to make your code more readable. For instance:


              
1234567

            
europe_cities = ["Paris", "Berlin", "Rome"]
asia_cities = ["Tokyo", "Seoul", "Bangkok"]
america_cities = ["New York", "Los Angeles", "Chicago"]

world_cities = [europe_cities, asia_cities, america_cities]

print(world_cities)
copy

Here, we first define three independent lists for cities in Europe, Asia, and the Americas. We then combine the lists into one, world_cities, which becomes a nested list.

The example shows that a nested list is a good way to organize related data, such as cities from different continents, in a natural, intuitive, and organized manner.

Task
test

Swipe to show code editor

Extend your travel_wishlist to include additional details for each city as a nested list. Each nested list should contain the city name, the country it's located in, and the estimated cost of the trip.

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 1. Chapter 3
toggle bottom row

bookNested List

Items within a list in Python can also be lists. This forms what is called a "nested list" or "lists within lists." Nested lists are powerful in organizing elaborative data structures in that you can store multiple-level data within one list.

For instance, you might have a list where some elements are just single values, and others might be lists themselves. Here's a simple example:


              
123

            
cities = ["London", ["Paris", "Madrid"], "Rome", ["Bangkok", ["New York", "Los Angeles"]]]

print(cities)
copy

Using Variables for Nested Lists

This example illustrates a nested list in which the second and fourth elements are also lists, and the fourth element even contains another nested list within it.

You can also create nested lists by concatenating lists held in variables. This can be useful to make your code more readable. For instance:


              
1234567

            
europe_cities = ["Paris", "Berlin", "Rome"]
asia_cities = ["Tokyo", "Seoul", "Bangkok"]
america_cities = ["New York", "Los Angeles", "Chicago"]

world_cities = [europe_cities, asia_cities, america_cities]

print(world_cities)
copy

Here, we first define three independent lists for cities in Europe, Asia, and the Americas. We then combine the lists into one, world_cities, which becomes a nested list.

The example shows that a nested list is a good way to organize related data, such as cities from different continents, in a natural, intuitive, and organized manner.

Task
test

Swipe to show code editor

Extend your travel_wishlist to include additional details for each city as a nested list. Each nested list should contain the city name, the country it's located in, and the estimated cost of the trip.

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!

Items within a list in Python can also be lists. This forms what is called a "nested list" or "lists within lists." Nested lists are powerful in organizing elaborative data structures in that you can store multiple-level data within one list.

For instance, you might have a list where some elements are just single values, and others might be lists themselves. Here's a simple example:


              
123

            
cities = ["London", ["Paris", "Madrid"], "Rome", ["Bangkok", ["New York", "Los Angeles"]]]

print(cities)
copy

Using Variables for Nested Lists

This example illustrates a nested list in which the second and fourth elements are also lists, and the fourth element even contains another nested list within it.

You can also create nested lists by concatenating lists held in variables. This can be useful to make your code more readable. For instance:


              
1234567

            
europe_cities = ["Paris", "Berlin", "Rome"]
asia_cities = ["Tokyo", "Seoul", "Bangkok"]
america_cities = ["New York", "Los Angeles", "Chicago"]

world_cities = [europe_cities, asia_cities, america_cities]

print(world_cities)
copy

Here, we first define three independent lists for cities in Europe, Asia, and the Americas. We then combine the lists into one, world_cities, which becomes a nested list.

The example shows that a nested list is a good way to organize related data, such as cities from different continents, in a natural, intuitive, and organized manner.

Task
test

Swipe to show code editor

Extend your travel_wishlist to include additional details for each city as a nested list. Each nested list should contain the city name, the country it's located in, and the estimated cost of the trip.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 3
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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