Knowledge Check: Module 13

1Which is the correct syntax to loop through each element in a list called `my_data`?

for item in my_data:

loop item over my_data:

for my_data get item:

while item in my_data:

2In the loop `for value in numbers:`, what does the variable `value` represent during each iteration?

The index of the current element.

One element from the `numbers` list/sequence.

The entire `numbers` list.

A boolean value indicating if the loop continues.

3How would you iterate through each character in a string variable called `message`?

for i in range(len(message)):

for char in message:

iterate char over message:

while message has chars:

4Consider the code: `word = "Py"; for letter in word: print(letter)`. What is the output?

P y

P
y

['P', 'y']

5You have a list `scores = [88, 92, 100]`. Which loop prints each score on a new line?

print(scores)

for s in scores: print(s)

for i in range(scores): print(i)

print(scores[0], scores[1], scores[2])

6What is the primary purpose of a `for item in sequence:` loop?

To define a new function.

To make decisions based on a condition.

To execute a block of code repeatedly for each element in a sequence.

To get input from the user.

7In the statement `for char in "Hello":`, what part is the "iterable"?

for

char

"Hello"

: (the colon)

8Can you use a `for item in sequence:` loop to iterate over the elements of a tuple? (e.g., `my_tuple = (1, 2, 3)`)

Yes, tuples are sequences and can be iterated over.

No, this loop only works for lists.

No, this loop only works for strings.

Only if the tuple contains numbers.

9What is an advantage of using `for element in data:` compared to using `for i in range(len(data)): print(data[i])` for simple iteration?

It is significantly faster.

It requires less code and is often more readable.

It only works for lists of numbers.

It allows you to modify the list while iterating safely.

10The concept of using a `for` loop to process each item without needing to know *how* the items are stored (e.g., index numbers) is an example of which Computational Thinking principle?

Decomposition

Pattern Recognition

Abstraction

Algorithm Design

Knowledge Check: Module 13

Module 13: Loops - Over Data

Results

Already Passed!