Course Content
Python Data Structures
Python Data Structures
Creating a List
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:
# City name, population, area, is a major metropolitan city_info = ["New York", 8419600, 468.9, True] print(city_info)
As shown, a list can contain a mix of different items or even be completely empty. Take a look at the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
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 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:
# City name, population, area, is a major metropolitan city_info = ["New York", 8419600, 468.9, True] print(city_info)
As shown, a list can contain a mix of different items or even be completely empty. Take a look at the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
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 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:
# City name, population, area, is a major metropolitan city_info = ["New York", 8419600, 468.9, True] print(city_info)
As shown, a list can contain a mix of different items or even be completely empty. Take a look at the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
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 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:
# City name, population, area, is a major metropolitan city_info = ["New York", 8419600, 468.9, True] print(city_info)
As shown, a list can contain a mix of different items or even be completely empty. Take a look at the following example:
To initialize an empty list, simply assign empty square brackets to a variable.
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