Check for Understanding: Lists

Check for Understanding

Data types and data structures are tricky but important concepts to master! Let's pause and make sure you understand the distinction between them.

SOLUTION:

Data structures are containers that can include different data types.
A list is an example of a data structure.
All data structures are data types.

SOLUTION:

Mutable
Ordered

The next two quizzes will test your understanding of indexing and slicing lists. I encourage you to try answering these questions without testing them in code first. However, if you would like to experiment with code after your first try, there is a code editor at the bottom of this page for you to do so.

QUIZ QUESTION::

Choose the correct syntax to index each of the following elements from a list, arr.

ANSWER CHOICES:

Element	Indexing Syntax
`arr[-2]`
`arr[-3]`
`arr[4]`
`arr[3]`
`arr[len(arr)]`
`arr[len(arr) - 1]`
`arr[1]`
`arr[0]`

SOLUTION:

Element	Indexing Syntax
`arr[-2]`
`arr[3]`
`arr[len(arr) - 1]`
`arr[0]`

QUIZ QUESTION::

Choose the correct syntax to slice each of the following elements from the list: arr = ['a', 'b', 'c', 'd', 'e', 'f', 'g']

ANSWER CHOICES:

Elements	Slicing Syntax
`arr[4:]`
`arr[3:7]`
`arr[:3]`
`arr[2:6]`
`arr[:2]`
`arr[0:2]`
`arr[4:6]`
`arr[2:5]`

SOLUTION:

Elements	Slicing Syntax
`arr[4:]`
`arr[:3]`
`arr[2:6]`

Start Quiz:

list_slicing_indexing.py

arr = ['a', 'b', 'c', 'd', 'e', 'f', 'g']
print(arr[0])