Document loading and parsing in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load a text document from a file.

Prompt Engineering / GenAI

with open('document.txt', '[1]') as file:
    content = file.read()

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

Ar

Bw

Ca

Dx

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'w' mode which overwrites the file.

Using 'a' mode which appends to the file.

The mode 'r' opens the file for reading, which is needed to load the document content.

2fill in blank

medium

Complete the code to split the loaded document content into sentences.

Prompt Engineering / GenAI

sentences = content.[1]('.')

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Ajoin

Bsplit

Creplace

Dstrip

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'join' which combines strings instead of splitting.

Using 'replace' which changes characters but does not split.

The split method breaks the text into parts using the given separator, here a period.

3fill in blank

hard

Fix the error in the code to parse JSON content from a document string.

Prompt Engineering / GenAI

import json
parsed_data = json.[1](content)

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Adump

Bload

Cdumps

Dloads

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'load' which reads JSON from a file object, not a string.

Using 'dump' or 'dumps' which write JSON instead of reading.

The loads function parses a JSON string into a Python object.

4fill in blank

hard

Fill both blanks to create a dictionary of word counts from the document.

Prompt Engineering / GenAI

word_counts = {word: content.[1](word) for word in content.[2]()}

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Acount

Bsplit

Clower

Dreplace

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'lower' instead of 'split' to get words.

Using 'replace' which changes text but does not split or count.

The split method breaks the content into words, and count counts how many times each word appears.

5fill in blank

hard

Fill all three blanks to filter sentences containing a keyword and count them.

Prompt Engineering / GenAI

keyword = 'AI'
filtered = [sentence for sentence in content.[1]('.') if [2] in sentence.[3]()] 
count = len(filtered)

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Asplit

Bkeyword

Clower

Dreplace

Attempts:

3 left

💡 Hint

Common Mistakes

Not converting sentences to lowercase before checking keyword.

Using 'replace' instead of 'split' to get sentences.

We split the content into sentences, check if the keyword is in each sentence after converting it to lowercase, then count the filtered sentences.