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Python Data Structures
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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
Python List Length: Measuring and Managing List Size

When working with large or complex lists, knowing how many elements they contain is often useful. Python provides the len() function, which returns the total number of items in a list.

Note

A nested list is considered a single item. The len() function doesn't count the individual items inside a nested list as separate items of the main list.


              
12345

            
cities_list = ["Tokyo", "New York", "Sydney", "Berlin", ["Paris", "France"]]

list_length = len(cities_list)

print(list_length)
copy
Opgave

Swipe to start coding

Find out how many cities are in the travel_wishlist.

  • Assign the value of the length of the travel_wishlist list to the variable list_length.
  • Use the len function to find a length.

Løsning

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Sektion 1. Kapitel 4
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book
Python List Length: Measuring and Managing List Size

When working with large or complex lists, knowing how many elements they contain is often useful. Python provides the len() function, which returns the total number of items in a list.

Note

A nested list is considered a single item. The len() function doesn't count the individual items inside a nested list as separate items of the main list.


              
12345

            
cities_list = ["Tokyo", "New York", "Sydney", "Berlin", ["Paris", "France"]]

list_length = len(cities_list)

print(list_length)
copy
Opgave

Swipe to start coding

Find out how many cities are in the travel_wishlist.

  • Assign the value of the length of the travel_wishlist list to the variable list_length.
  • Use the len function to find a length.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 4
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
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