Question
Using Python The studentinfo.txt file (available below) contains information for many randomly generated students. The student information follows the structure given below: Student1_first_name Student1_last_name Student1_serial_number
Using Python
The studentinfo.txt file (available below) contains information for many randomly generated students. The student information follows the structure given below:
Student1_first_name
Student1_last_name
Student1_serial_number
Student1_assignment_grade
Student1_midterm_grade
Student1_exam_grade
Student2_first_name
Student2_last_name
Student2_serial_number
Student2_assignment_grade
Student2_midterm_grade
Student2_exam_grade
Download the StudentInfo.txt file and put it in the same directory as your Python code. If you accidentally introduce an error into the file (i.e., break the structure some how), you can redownload it to get a fresh copy.
- Write and test a function that takes each student information from the text file as input and writes the following information in the given pattern to another text file called StudentDB2.txt
Student ID (a random number between 10000 and 99999) First name, Last name (in this order separated by a comma) Total grade (i.e., assignment_grade + midterm_grade + final_grade)
- Write and test a function that returns the average assignment grade, average midterm grade, and average exam grade, calculated across all students from StudentInfo.txt file.
- Write a function that returns the name of the student with the highest overall final grade. Use the following weight distribution: assignments=25%, midterm=25%, and exam=50% of the final grade.
This is the StudentInfo.txt
Francis
Young
1
64
70
63
Heather
Suen
2
93
78
80
Antonio
Givens
3
75
78
80
Mario
Small
4
71
73
62
Esperanza
Walters
5
71
78
80
Jessica
Long
6
79
81
67
Kristin
Reddish
7
51
62
57
Martha
Potts
8
75
64
74
Douglas
Tanner
9
70
70
64
Kerry
Mcdonald
10
51
61
48
Heidi
Ross
11
76
76
84
Charles
Flores
12
59
58
45
Steven
Sumner
13
62
72
67
Bennie
Mcdonald
14
68
72
82
Janice
Wallace
15
57
56
70
Ronald
Zimmerman
16
80
84
73
Agustin
Diederich
17
54
50
52
Jane
Sullivan
18
30
49
42
Cecilia
Stanbaugh
19
93
75
83
Harriet
Tirk
20
56
37
41
Mary
Briones
21
61
50
48
Fannie
Thomas
22
92
84
88
April
Schreimann
23
76
81
75
Clara
Grigsby
24
34
46
38
Scott
Watson
25
78
79
71
Teresa
Gonzalez
26
80
73
66
Robert
Knecht
27
59
61
76
Lillian
Reynolds
28
72
73
69
Joseph
Perez
29
53
50
55
Robert
Gugino
30
69
63
66
Mark
Mcardell
31
81
79
88
Winfred
Payne
32
78
84
88
Alice
Jones
33
90
83
90
Cleo
Bradley
34
55
51
49
Lorraine
Smith
35
67
55
69
Christopher
Schmitt
36
50
60
49
Son
Evans
37
59
62
49
Geraldine
Berry
38
53
54
47
Mary
Carson
39
87
75
81
Caroline
Ross
40
49
42
40
James
Byrnes
41
87
94
91
Kelly
Murray
42
47
59
49
Dale
Bowman
43
88
71
81
Todd
Fleming
44
82
72
68
Sarah
Rohm
45
68
59
68
Lillian
Moy
46
81
63
81
Ethel
Young
47
76
77
67
Grady
Wilson
48
59
71
60
Marlon
Peabody
49
53
49
53
Inge
Phillips
50
59
60
56
Son
Morison
51
56
67
66
Ronald
Ressler
52
63
56
46
Edith
Aldridge
53
54
67
59
Michelle
Garcia
54
65
66
80
Christiane
Brewer
55
93
81
89
Regina
Ruiz
56
81
66
69
Mark
Dean
57
53
60
51
Guadalupe
Jarrett
58
31
41
49
Shirley
Edwards
59
74
74
90
Shirley
Milton
60
45
52
45
Wendell
Clark
61
72
60
70
Roberta
Mcneil
62
83
87
77
Ethel
Tshudy
63
60
51
50
Hae
Norrod
64
69
82
69
Robert
Johnson
65
98
85
80
Chris
Durgin
66
76
72
63
Joshua
Tew
67
70
59
59
John
Soper
68
80
95
97
Margaret
Batarse
69
75
86
75
Josefina
Charlot
70
51
45
38
Glenda
Boltz
71
48
42
52
Irene
Pryor
72
56
50
46
Thomas
Sanders
73
70
81
83
Melba
Scull
74
61
67
61
Arlene
Parrish
75
44
45
32
John
Brown
76
71
86
85
Andrew
Hanley
77
40
54
35
Timothy
Jones
78
36
38
50
Antonio
Collins
79
67
67
73
Patrick
Johnson
80
53
62
55
Kari
Liles
81
76
77
71
Nicholas
Lemons
82
60
61
58
Jerry
Lewis
83
40
44
38
Ross
Cogswell
84
84
88
83
Jennie
Brinkley
85
95
85
84
Monica
Davis
86
74
66
58
Helen
Auzenne
87
84
74
76
Tony
Carrillo
88
62
67
63
Elisabeth
Thompson
89
82
96
87
Lynn
Longerbeam
90
43
50
51
Linda
Felipe
91
50
46
41
Jacob
Lange
92
44
35
35
Nancy
Hannaford
93
54
55
69
Larry
Mikulak
94
98
80
83
Georgianna
Sakoda
95
45
51
49
Susan
Moistner
96
83
79
80
Jennifer
Grindle
97
63
63
60
Andrew
Dickson
98
99
94
86
John
Conley
99
53
49
51
Lesley
Scruggs
100
66
49
54
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Oracle Databases On The Web Learn To Create Web Pages That Interface With Database Engines
Authors: Robert Papaj, Donald Burleson
11th Edition
1576100995, 978-1576100998
