Why structured data formats are used in Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a dictionary representing a person with name and age.

Python

person = {'name': 'Alice', 'age': [1]

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

A30

B'30'

Cage

DNone

Attempts:

3 left

💡 Hint

Common Mistakes

Putting the number in quotes making it a string instead of an integer.

The age should be a number without quotes to represent an integer value.

2fill in blank

medium

Complete the code to convert a dictionary to a JSON string.

Python

import json
person = {'name': 'Bob', 'age': 25}
json_str = json.[1](person)

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Adumps

Bloads

Cdump

Dload

Attempts:

3 left

💡 Hint

Common Mistakes

Using json.loads() which is for parsing JSON strings.

Use json.dumps() to convert a Python dictionary to a JSON string.

3fill in blank

hard

Fix the error in the code to parse a JSON string into a Python dictionary.

Python

import json
json_str = '{"city": "Paris", "population": 2148000}'
data = json.[1](json_str)

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

Adump

Bdumps

Cload

Dloads

Attempts:

3 left

💡 Hint

Common Mistakes

Using json.load() which reads from a file, not a string.

Use json.loads() to parse a JSON string into a Python dictionary.

4fill in blank

hard

Fill both blanks to create a dictionary of squares for numbers greater than 3.

Python

squares = {x: x[1]2 for x in range(1, 6) if x [2] 3}

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

A**

B%

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using % which is modulo, not exponentiation.

Using < instead of >.

Use ** for exponentiation and > to filter numbers greater than 3.

5fill in blank

hard

Fill all three blanks to create a filtered dictionary with uppercase keys and values greater than 10.

Python

filtered = [1]: [2] for k, v in data.items() if v [3] 10}

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Ak.upper()

Bv

C>

Dk.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using k.lower() instead of uppercase.

Using < instead of >.

Use k.upper() to uppercase keys, keep values as v, and filter values greater than 10 with >.