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In Python code: Read all of words in the paragraph posted below and print out all of the top 5 most frequent words (sorted: most to least) and with no duplicates (select word lexicographically). The output should match the exact format shown below, which is word: count. Example: hi: 120 shoes: 100 old: 90 few: 30 car: 15 Paragraph: A few months ago, I decided to deaccession an assortment of my things by whatever means feasible: selling, donating, recycling, giving them away, losing them on the subway, or reserving a spot for them on the next Mars Explorer. I gathered my unwanteds and piled them in the living room. A fraction of what was in that jumble: seven antique glass cake stands that belonged to my mother; a dormitory's worth of new sheet sets and blankets for a bed size that is not mine; a set of Lenox china that my grandmother gave to my mother, who gave it to me, and was never used; clothes galore; a Viking stove grate that arrived cracked, and which I saved because I planned to weld it into a sculpture someday, after I learned how to weld; several rolls of Trump toilet paper that I wrongly thought were amusing a few years ago. I wish I could have added my boyfriend's too large Le Corbusier lounger. (There are Web sites, such as NeverLikedItAnyway.com, that will buy your ex's leavings, ranging from engagement rings to "Rick and Morty" socks.)

In Python code: Read all of words in the paragraph posted below and print out all of the top 5 most frequent words (sorted: most to least) and with no duplicates (select word lexicographically). The output should match the exact format shown below, which is word: count. Example: hi: 120 shoes: 100 old: 90 few: 30 car: 15 Paragraph: A few months ago, I decided to deaccession an assortment of my things by whatever means feasible: selling, donating, recycling, giving them away, losing them on the subway, or reserving a spot for them on the next Mars Explorer. I gathered my unwanteds and piled them in the living room. A fraction of what was in that jumble: seven antique glass cake stands that belonged to my mother; a dormitory's worth of new sheet sets and blankets for a bed size that is not mine; a set of Lenox china that my grandmother gave to my mother, who gave it to me, and was never used; clothes galore; a Viking stove grate that arrived cracked, and which I saved because I planned to weld it into a sculpture someday, after I learned how to weld; several rolls of Trump toilet paper that I wrongly thought were amusing a few years ago. I wish I could have added my boyfriend's too large Le Corbusier lounger. (There are Web sites, such as NeverLikedItAnyway.com, that will buy your ex's leavings, ranging from engagement rings to "Rick and Morty" socks.)

Database System Concepts
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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In Python code: Read all of words in the paragraph posted below and print out all of the top 5 most frequent words (sorted: most to least) and with no duplicates (select word lexicographically). The output should match the exact format shown below, which is word: count. Example: hi: 120 shoes: 100 old: 90 few: 30 car: 15 Paragraph: A few months ago, I decided to deaccession an assortment of my things by whatever means feasible: selling, donating, recycling, giving them away, losing them on the subway, or reserving a spot for them on the next Mars Explorer. I gathered my unwanteds and piled them in the living room. A fraction of what was in that jumble: seven antique glass cake stands that belonged to my mother; a dormitory's worth of new sheet sets and blankets for a bed size that is not mine; a set of Lenox china that my grandmother gave to my mother, who gave it to me, and was never used; clothes galore; a Viking stove grate that arrived cracked, and which I saved because I planned to weld it into a sculpture someday, after I learned how to weld; several rolls of Trump toilet paper that I wrongly thought were amusing a few years ago. I wish I could have added my boyfriend's too large Le Corbusier lounger. (There are Web sites, such as NeverLikedItAnyway.com, that will buy your ex's leavings, ranging from engagement rings to "Rick and Morty" socks.)
Transcribed Image Text:In Python code: Read all of words in the paragraph posted below and print out all of the top 5 most frequent words (sorted: most to least) and with no duplicates (select word lexicographically). The output should match the exact format shown below, which is word: count. Example: hi: 120 shoes: 100 old: 90 few: 30 car: 15 Paragraph: A few months ago, I decided to deaccession an assortment of my things by whatever means feasible: selling, donating, recycling, giving them away, losing them on the subway, or reserving a spot for them on the next Mars Explorer. I gathered my unwanteds and piled them in the living room. A fraction of what was in that jumble: seven antique glass cake stands that belonged to my mother; a dormitory's worth of new sheet sets and blankets for a bed size that is not mine; a set of Lenox china that my grandmother gave to my mother, who gave it to me, and was never used; clothes galore; a Viking stove grate that arrived cracked, and which I saved because I planned to weld it into a sculpture someday, after I learned how to weld; several rolls of Trump toilet paper that I wrongly thought were amusing a few years ago. I wish I could have added my boyfriend's too large Le Corbusier lounger. (There are Web sites, such as NeverLikedItAnyway.com, that will buy your ex's leavings, ranging from engagement rings to "Rick and Morty" socks.)
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