Tokenization basics in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to split the sentence into words using the split method.

Data Analysis Python

sentence = "Data science is fun"
tokens = sentence.[1]()

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

Asplit

Bstrip

Creplace

Djoin

Attempts:

3 left

💡 Hint

Common Mistakes

Using join instead of split

Using replace which changes characters

Using strip which removes spaces only at ends

The split() method breaks a string into a list of words based on spaces by default.

2fill in blank

medium

Complete the code to tokenize the sentence by splitting on commas.

Data Analysis Python

sentence = "apple,banana,orange"
tokens = sentence.[1](",")

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

Areplace

Bsplit

Cstrip

Djoin

Attempts:

3 left

💡 Hint

Common Mistakes

Using strip which removes characters only at ends

Using replace which changes characters but does not split

Using join which combines strings

The split(",") method splits the string at each comma, creating a list of fruits.

3fill in blank

hard

Fix the error in the code to tokenize the sentence into words.

Data Analysis Python

sentence = "Hello world"
tokens = sentence.[1](" ")

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

Asplit

Bjoin

Creplace

Dstrip

Attempts:

3 left

💡 Hint

Common Mistakes

Using join which combines strings

Using replace which changes characters

Using strip which removes spaces only at ends

The split(" ") method splits the sentence at spaces, creating a list of words.

4fill in blank

hard

Complete the code to create a dictionary with words as keys and their lengths as values.

Data Analysis Python

words = ['data', 'science', 'fun']
lengths = {word: [1] for word in words}

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A:

Blen(word)

Cword

D=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '=' instead of ':' in dictionary comprehension

Using the word itself as value instead of its length

In dictionary comprehension, word: len(word) creates key-value pairs where keys are words and values are their lengths.

5fill in blank

hard

Fill all three blanks to create a dictionary of words and their lengths, including only words longer than 3 letters.

Data Analysis Python

words = ['data', 'is', 'fun', 'science']
lengths = { [1] : [2] for word in words if [3] }

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

Aword

Blen(word)

Clen(word) > 3

Dword.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Using word.upper() as key which changes the word

Not filtering words by length

Using '=' instead of ':' in dictionary comprehension

The dictionary comprehension uses word as key, len(word) as value, and filters words with length greater than 3.