as 100/4 = 25pts, assuming that the program is worth of 100 pts. The university

Web scraping with Python All submission will be checked with a plagiarism software. Submission having more than 70% similarity to any other student submission and/or internet resources will share total points the assignment. For example, 4 submissions having more than 70% similarity will be graded as 100/4 = 25pts, assuming that the program is worth of 100 pts. The university maintains course schedules at for different semesters (spring, fall, winter, etc ). You will develop a Python program to dynamically complete certain tasks, such as list, find, sort, and save, in course listings from schedule portal. You will mainly use “request” and “BeautifulSoup” libraries (or similar, see exercise 12.1). The program will operate at different level: Semester and Department.  Your program will be a menu based application. Assume that you project file is myproject.py. Once you run, it will show last 5 semester (fall, spring, summer only, (not winter, may mini)) Here, your program will parse the data from website and show only last (most recent) 5 semesters. User will make selection, then, you will show departments for the selected semester (Fall 2020). Note that selected semester is visible before a “>” sign. Here, your program will parse the data from website and show all available department then list of tasks. Q (go back) option will take user to previous level. Course listing output should show the following fields. For insta

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nce for course listing for “Fall 2020> Computer Science & Info Sys> List the course by prefix ” should show COSC1301     01      WIntro to CompuLee,                    Kwang                3           35           10 COSC1436     01      EIntro to Comp Sci & ProgBrown,  Thomas             4           40            36 COSC1436     01L    Intro to Comp Sci & ProgBrown,       Thomas                         40            36 COSC1436     01W     Intro to Comp Sci & ProgHu,             Kaoning           4           45            43 COSC1436     02E      Intro to Comp Sci & ProgHu,              Kaoning           4           35            32 as first 5 rows. You will follow above headers and order (prefix (col. width 6), ID (5), Sec (5) ,Name (25), Inst (20), Hours (5), Seats (5), Enroll. (7) ) for other listing selections too. Data cell should be aligned with column header and left justified. A course name should not have a word more than 5 chars. For instance Algorithms should be abbreviated as “Algor”. The length of course name will not exceed 25 chars. In option 5, the above format should be used to save a listing to a file as .csv format. User will be able to provide a filename for csv file.

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