def 95(sentence) : ... Assumes sentence is a string. Returns a list of all the words in sentence, where a word is a token separated by white space, (you can use sentence.split()), and then for each word, make it lowercase and remove any character that is not alpho-numeric (a-z or 8-9). For example, I q5( The PLague" (French: "La Peste"), 1947, by Albert Camus.' should return ['the', 'plague', 'french', 'la', 'peste', '1947', 'by', 'albert', 'camus'] 45('Red@Dragon....ca is great!') should return ['reddragonca', 'is', 'great'] ... pass
def 95(sentence) : ... Assumes sentence is a string. Returns a list of all the words in sentence, where a word is a token separated by white space, (you can use sentence.split()), and then for each word, make it lowercase and remove any character that is not alpho-numeric (a-z or 8-9). For example, I q5( The PLague" (French: "La Peste"), 1947, by Albert Camus.' should return ['the', 'plague', 'french', 'la', 'peste', '1947', 'by', 'albert', 'camus'] 45('Red@Dragon....ca is great!') should return ['reddragonca', 'is', 'great'] ... pass
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
![def q5(sentence):
Assumes sentence is a string.
Returns a list of all the words in sentence, where a word is a token
separated by white space, (you can use sentence.split()), and then
for each word, make it lowercase and remove any character that is not
alpha-numeric (a-z or 8-9).
For example,
I
q5("The Plague" (French: "La Peste"), 1947, by Albert CamUs.')
should return ['the', 'plague', 'french', 'la', 'peste', '1947', 'by', 'albert', 'camus']
q5('Red@Dragon....ca is great!')
should return ['reddragonca', 'is', 'great']
pass](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F31b13744-2a7c-4c52-8a63-0a640293092a%2F5964903c-a3f5-4ace-b1a0-b881a92026a7%2Fck86mx_processed.jpeg&w=3840&q=75)
Transcribed Image Text:def q5(sentence):
Assumes sentence is a string.
Returns a list of all the words in sentence, where a word is a token
separated by white space, (you can use sentence.split()), and then
for each word, make it lowercase and remove any character that is not
alpha-numeric (a-z or 8-9).
For example,
I
q5("The Plague" (French: "La Peste"), 1947, by Albert CamUs.')
should return ['the', 'plague', 'french', 'la', 'peste', '1947', 'by', 'albert', 'camus']
q5('Red@Dragon....ca is great!')
should return ['reddragonca', 'is', 'great']
pass
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