Read a list of universities from a file named "Universities.txt" and store them in a Python list of dictionaries. Universities.txt: "Harvard University","Cambridge, Massachusetts", "United States", 168 "University of Oxford", "Oxford, United Kingdom", "United Kingdom", 116 "Stanford University", "Stanford, California", "United States", 125 "Massachusetts Institute of Technology (MIT)", "Cambridge, Massachusetts", "United States", 96 "University of Cambridge", "Cambridge, United Kingdom","United Kingdom", 93 "California Institute of Technology (Caltech)", "Pasadena, California", "United States", 97 Output all the universities in your list. Output all universities located in the United States. Output all universities with a ranking higher than 100. Calculate the average ranking of all universities in your list. Create a histogram of the countries. Each element in the histogram should represent the count of universities in a specific country. Take all the universities in "Universities.txt" and store them in a Python set of tuples where each tuple represents (university name, location, country). Output all unique locations represented among the universities. Output the total number of entries in your set.
Read a list of universities from a file named "Universities.txt" and store them in a Python list of dictionaries. Universities.txt: "Harvard University","Cambridge, Massachusetts", "United States", 168 "University of Oxford", "Oxford, United Kingdom", "United Kingdom", 116 "Stanford University", "Stanford, California", "United States", 125 "Massachusetts Institute of Technology (MIT)", "Cambridge, Massachusetts", "United States", 96 "University of Cambridge", "Cambridge, United Kingdom","United Kingdom", 93 "California Institute of Technology (Caltech)", "Pasadena, California", "United States", 97 Output all the universities in your list. Output all universities located in the United States. Output all universities with a ranking higher than 100. Calculate the average ranking of all universities in your list. Create a histogram of the countries. Each element in the histogram should represent the count of universities in a specific country. Take all the universities in "Universities.txt" and store them in a Python set of tuples where each tuple represents (university name, location, country). Output all unique locations represented among the universities. Output the total number of entries in your set.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
Related questions
Question
Don't you dare give me AI generated answer or plagiarised answer. If I see these things I'll give you multiple downvotes and will report immediately.
Transcribed Image Text:Read a list of universities from a file named "Universities.txt" and store them in a
Python list of dictionaries.
Universities.txt:
"Harvard University", "Cambridge, Massachusetts", "United States", 168
"University of Oxford", "Oxford, United Kingdom", "United Kingdom", 116
"Stanford University", "Stanford, California", "United States", 125
"Massachusetts Institute of Technology (MIT)", "Cambridge, Massachusetts", "United
States", 96
"University of Cambridge", "Cambridge, United Kingdom", "United Kingdom", 93
"California Institute of Technology (Caltech)", "Pasadena, California", "United States",
97
Output all the universities in your list.
Output all universities located in the United States.
Output all universities with a ranking higher than 100.
Calculate the average ranking of all universities in your list.
Create a histogram of the countries. Each element in the histogram should represent
the count of universities in a specific country.
Take all the universities in "Universities.txt" and store them in a Python set of tuples
where each tuple represents (university name, location, country).
Output all unique locations represented among the universities.
Output the total number of entries in your set.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 4 steps with 3 images
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY