Course Content
Python Data Structures
Python Data Structures
Creating a List
Data structures organize data based on its type. In Python, the primary data structures are lists, tuples, dictionaries, and sets, each with its distinct characteristics. In this course, we'll delve into these structures and discover how to utilize them effectively.
Python lists are ordered collections that can be changed and can hold items of any type. To make a list in Python, enclose the items within square brackets. Check out this example:
cities = ['New York', 'Chicago', 'Los Angeles'] print(cities)
As demonstrated, a list can hold any combination of items, or even none at all. Consider the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
A list can house items of any data type, be it a string or a number. Here's another example:
list_1 = [1, 'January', 'New Year', True] print(list_1)
Time to practice.
Task
Craft your own list named list_1 with the following values:
1, 10, 'California', True
After crafting the list, hit the button underneath the code to verify your solution.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Creating a List
Data structures organize data based on its type. In Python, the primary data structures are lists, tuples, dictionaries, and sets, each with its distinct characteristics. In this course, we'll delve into these structures and discover how to utilize them effectively.
Python lists are ordered collections that can be changed and can hold items of any type. To make a list in Python, enclose the items within square brackets. Check out this example:
cities = ['New York', 'Chicago', 'Los Angeles'] print(cities)
As demonstrated, a list can hold any combination of items, or even none at all. Consider the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
A list can house items of any data type, be it a string or a number. Here's another example:
list_1 = [1, 'January', 'New Year', True] print(list_1)
Time to practice.
Task
Craft your own list named list_1 with the following values:
1, 10, 'California', True
After crafting the list, hit the button underneath the code to verify your solution.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Creating a List
Data structures organize data based on its type. In Python, the primary data structures are lists, tuples, dictionaries, and sets, each with its distinct characteristics. In this course, we'll delve into these structures and discover how to utilize them effectively.
Python lists are ordered collections that can be changed and can hold items of any type. To make a list in Python, enclose the items within square brackets. Check out this example:
cities = ['New York', 'Chicago', 'Los Angeles'] print(cities)
As demonstrated, a list can hold any combination of items, or even none at all. Consider the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
A list can house items of any data type, be it a string or a number. Here's another example:
list_1 = [1, 'January', 'New Year', True] print(list_1)
Time to practice.
Task
Craft your own list named list_1 with the following values:
1, 10, 'California', True
After crafting the list, hit the button underneath the code to verify your solution.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Data structures organize data based on its type. In Python, the primary data structures are lists, tuples, dictionaries, and sets, each with its distinct characteristics. In this course, we'll delve into these structures and discover how to utilize them effectively.
Python lists are ordered collections that can be changed and can hold items of any type. To make a list in Python, enclose the items within square brackets. Check out this example:
cities = ['New York', 'Chicago', 'Los Angeles'] print(cities)
As demonstrated, a list can hold any combination of items, or even none at all. Consider the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
A list can house items of any data type, be it a string or a number. Here's another example:
list_1 = [1, 'January', 'New Year', True] print(list_1)
Time to practice.
Task
Craft your own list named list_1 with the following values:
1, 10, 'California', True
After crafting the list, hit the button underneath the code to verify your solution.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowSwitch to desktop for real-world practiceContinue from where you are using one of the options below