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Python Data Structures
course content

Contenuti del Corso

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
Creating Lists in Python: Declaring and Initializing Lists

Data structures are essential tools for organizing data, allowing for more efficient access depending on the specific needs of a program. They form the foundation of any programming language and are central to building functional and effective programs. In Python, the main data structures include lists, tuples, dictionaries, and sets, each offering unique features and capabilities. In this course, you'll learn about these structures and how to use them efficiently in your projects.

Understanding Python Lists

Python lists are ordered collections that are mutable and may contain elements of any data type. In Python, a list is created by putting the items inside square brackets. Here's an example:


              
1234

            
# City name, population, area, is a major metropolitan
city_info = ["New York", 8419600, 468.9, True]

print(city_info)
copy

As shown, a list can contain a mix of different items or even be completely empty. Take a look at the following example:

python

To initialize an empty list, simply assign empty square brackets to a variable.

Compito

Swipe to start coding

Initialize a list named travel_wishlist.

  • The list should contain 3 elements: "London", "Tokyo", "Berlin" (the order doesn’t matter).

Soluzione

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Sezione 1. Capitolo 1
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book
Creating Lists in Python: Declaring and Initializing Lists

Data structures are essential tools for organizing data, allowing for more efficient access depending on the specific needs of a program. They form the foundation of any programming language and are central to building functional and effective programs. In Python, the main data structures include lists, tuples, dictionaries, and sets, each offering unique features and capabilities. In this course, you'll learn about these structures and how to use them efficiently in your projects.

Understanding Python Lists

Python lists are ordered collections that are mutable and may contain elements of any data type. In Python, a list is created by putting the items inside square brackets. Here's an example:


              
1234

            
# City name, population, area, is a major metropolitan
city_info = ["New York", 8419600, 468.9, True]

print(city_info)
copy

As shown, a list can contain a mix of different items or even be completely empty. Take a look at the following example:

python

To initialize an empty list, simply assign empty square brackets to a variable.

Compito

Swipe to start coding

Initialize a list named travel_wishlist.

  • The list should contain 3 elements: "London", "Tokyo", "Berlin" (the order doesn’t matter).

Soluzione

Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 1. Capitolo 1
Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Siamo spiacenti che qualcosa sia andato storto. Cosa è successo?
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