Memory-efficient operations in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a generator expression that saves memory.

Data Analysis Python

squares = (x[1]2 for x in range(1, 6))
print(list(squares))

Drag options to blanks, or click blank then click option'

A**

B*

C+

D//

Attempts:

3 left

💡 Hint

Common Mistakes

Using multiplication (*) instead of exponentiation (**).

Using integer division (//) which is incorrect here.

The ** operator is used to calculate powers. Here, x**2 computes squares efficiently.

2fill in blank

medium

Complete the code to convert a list to a generator expression for memory efficiency.

Data Analysis Python

numbers = [1, 2, 3, 4, 5]
generator = (num for num [1] numbers)
print(list(generator))

Drag options to blanks, or click blank then click option'

Aof

Bat

Cfrom

Din

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'of' or 'from' which are not valid in this context.

Using 'at' which is not a Python keyword for iteration.

The keyword in is used to iterate over elements in a list or iterable in Python.

3fill in blank

hard

Fix the error in the code to create a memory-efficient data filter using a generator.

Data Analysis Python

data = [10, 15, 20, 25, 30]
filtered = (x for x in data if x [1] 20)
print(list(filtered))

Drag options to blanks, or click blank then click option'

A!=

B>

C==

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<=' which keeps numbers less or equal to 20.

Using '==' which keeps only numbers equal to 20.

The code filters values greater than 20, so the correct operator is >.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that stores word lengths only for words longer than 3 letters.

Data Analysis Python

words = ['cat', 'house', 'dog', 'elephant']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

Drag options to blanks, or click blank then click option'

Alen(word)

Bword

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Using '<=' which filters words shorter or equal to 3 letters.

The dictionary stores the length of each word, so len(word) is used. The condition keeps words longer than 3 letters, so > is correct.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that stores uppercase words as keys and their lengths as values, only for words longer than 4 letters.

Data Analysis Python

words = ['apple', 'bat', 'carrot', 'dog']
result = { [1]: [2] for w in words if len(w) [3] 4 }
print(result)

Drag options to blanks, or click blank then click option'

Aw.upper()

Blen(w)

C>

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using the original word as key instead of uppercase.

Using '<=' which filters shorter or equal length words.

The keys are uppercase words (w.upper()), the values are their lengths (len(w)), and the filter keeps words longer than 4 letters (>).