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Python Data Structures
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Course Content

Python Data Structures

Python Data Structures

1. Mastering Python Lists
Creating Lists in Python: Declaring and Initializing ListsList Indexing in Python: Accessing Elements EfficientlyWorking with Nested Lists in PythonPython List Length: Measuring and Managing List SizeModifying Lists in Python: Updating and Changing ElementsUsing the append() Method: Adding Elements to ListsUsing the insert() Method: Placing Elements at Specific PositionsDeleting Elements in Python Lists: Removing Items SafelyUsing the remove() Method: Deleting Specific Elements from Lists
2. Mastering Python Dictionaries
Creating a Dictionary in Python: Storing Key-Value PairsAccessing Dictionary ValuesAccessing Dictionary KeysAdding Items to a Dictionary: Updating Key-Value PairsUsing the del Keyword: Removing Dictionary EntriesUsing the pop() Method: Deleting Elements with Return ValuesUsing the popitem() Method: Removing the Last Inserted ItemUsing the clear() Method: Emptying a Dictionary Completely
3. Mastering Python Tuples
Creating a Tuple in Python: Defining Immutable Data StructuresAccessing Elements in a Tuple: Indexing TechniqueConcatenating Tuples in Python: Merging Immutable SequencesDeleting Tuples in Python: Removing References to TuplesUpdating Tuples in PythonAdding Items to a Tuple: Alternative Approaches Using ListsCounting Elements in a Tuple: Using the count() MethodFinding Elements in a Tuple: Using the index() Method for Lookup
4. Mastering Python Sets
Creating a Set in Python: Defining Unordered CollectionsUsing the add() Method: Adding Single Elements to a SetUsing the update() Method: Merging Multiple Elements into a SetAccessing Elements in a Set: Iteration and Membership TestingUsing the remove() and discard() MethodsUsing the clear() Method: Removing All Elements from a Set

book
Working with Nested Lists in Python

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

Swipe to start coding

Fill the travel_wishlist list with nested lists.

  • Each nested list should contain 3 elements: City, Country, and approximate trip cost.
  • The travel_wishlist list should contain 3 nested lists with information about cities.

For example, you can use the following data:

1. Paris | France | 2000
2. Tokyo | Japan | 3500
3. Berlin | Germany | 3400

Note

You can add more cities as nested lists, but make sure that their elements are defined in the proper format.

Solution

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SectionΒ 1. ChapterΒ 3
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book
Working with Nested Lists in Python

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

Swipe to start coding

Fill the travel_wishlist list with nested lists.

  • Each nested list should contain 3 elements: City, Country, and approximate trip cost.
  • The travel_wishlist list should contain 3 nested lists with information about cities.

For example, you can use the following data:

1. Paris | France | 2000
2. Tokyo | Japan | 3500
3. Berlin | Germany | 3400

Note

You can add more cities as nested lists, but make sure that their elements are defined in the proper format.

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!

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