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Make a python program that peruses the understudy data from a tab isolated values (tsv) record. The python program then, at that point, must makes a text document that will records the course grades of the understudies. Each line of the tsv record contains the Last Name, First Name, Midtrm1 score, Midtrm2 score, and the Last score of an understudy. An example of the understudy data is given in StudentInfoScore.tsv. Accept the quantity of understudies is somewhere around 1 and at generally 20. The program plays out the accompanying undertakings: Peruse the record name of the tsv document from the client. Open the tsv record and read the understudy data. Register the typical test score of every understudy. Dole out a letter grade to every understudy in light of the typical test score in the accompanying scale: A: 90 =< X B: 80 < x < 90 C: 70 < x < 80 D: 60 < x < 70 F: x < 60 Figure the normal of every test. Yield the last names, first names, test scores, and letter grades of the understudies into a text record named report.txt. Yield one understudy for each line and separate the qualities with a tab character. Yield the normal of every test, with two digits after the decimal point, toward the finish of report.txt. Answer: Utilize the arrangement detail to set the accuracy of the result.

Make a python program that peruses the understudy data from a tab isolated values (tsv) record. The python program then, at that point, must makes a text document that will records the course grades of the understudies. Each line of the tsv record contains the Last Name, First Name, Midtrm1 score, Midtrm2 score, and the Last score of an understudy. An example of the understudy data is given in StudentInfoScore.tsv. Accept the quantity of understudies is somewhere around 1 and at generally 20. The program plays out the accompanying undertakings: Peruse the record name of the tsv document from the client. Open the tsv record and read the understudy data. Register the typical test score of every understudy. Dole out a letter grade to every understudy in light of the typical test score in the accompanying scale: A: 90 =< X B: 80 < x < 90 C: 70 < x < 80 D: 60 < x < 70 F: x < 60 Figure the normal of every test. Yield the last names, first names, test scores, and letter grades of the understudies into a text record named report.txt. Yield one understudy for each line and separate the qualities with a tab character. Yield the normal of every test, with two digits after the decimal point, toward the finish of report.txt. Answer: Utilize the arrangement detail to set the accuracy of the result.

Database Systems: Design, Implementation, & Management
Database Systems: Design, Implementation, & Management
11th Edition
ISBN:9781285196145
Author:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel
Publisher:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel
Chapter11: Database Performance Tuning And Query Optimization
Section: Chapter Questions
Problem 20P
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resu GIVEN "StudentInfoScore.tsv": Brenda Edan 70 45 59 Brad Reagan 96 97 88 Charlotte Caius 73 94 80 Maria Tyrese 88 61 36 Steven Brenda 90 86 45 Should Result "Student Report.txt" Brenda Edan 70 45 59 F Brad Reagan 96 97 88 A Charlotte Caius 73 94 80 B Maria Tyrese 88 61 36 D Steven Brenda 90 86 45 C Midpoints: midtrm1 83.40, midtrm2 76.60, last 61.60
Transcribed Image Text:resu GIVEN "StudentInfoScore.tsv": Brenda Edan 70 45 59 Brad Reagan 96 97 88 Charlotte Caius 73 94 80 Maria Tyrese 88 61 36 Steven Brenda 90 86 45 Should Result "Student Report.txt" Brenda Edan 70 45 59 F Brad Reagan 96 97 88 A Charlotte Caius 73 94 80 B Maria Tyrese 88 61 36 D Steven Brenda 90 86 45 C Midpoints: midtrm1 83.40, midtrm2 76.60, last 61.60
PYTHON If it's not too much trouble, Likewise Offer CODE THROUGH Connection: online-python(dot)com Likewise screen capture code with right space Make a python program that peruses the understudy data from a tab isolated values (tsv) record. The python program then, at that point, must makes a text document that will records the course grades of the understudies. Each line of the tsv record contains the Last Name, First Name, Midtrm1 score, Midtrm2 score, and the Last score of an understudy. An example of the understudy data is given in StudentInfoScore.tsv. Accept the quantity of understudies is somewhere around 1 and at generally 20. The program plays out the accompanying undertakings: Peruse the record name of the tsv document from the client. Open the tsv record and read the understudy data. Register the typical test score of every understudy. Dole out a letter grade to every understudy in light of the typical test score in the accompanying scale: A: 90 =< X B: 80 C: 70 D: 60 F: x < 60 Figure the normal of every test. Yield the last names, first names, test scores, and letter grades of the understudies into a text record named < x < 90 < x < 80 < x < 70 report.txt. Yield one understudy for each line and separate the qualities with a tab character. Yield the normal of every test, with two digits after the decimal point, toward the finish of report.txt. Answer: Utilize the arrangement detail to set the accuracy of the result. GIVEN "StudentInfoScore.tsv": Brenda Edan 70 45 59
Transcribed Image Text:PYTHON If it's not too much trouble, Likewise Offer CODE THROUGH Connection: online-python(dot)com Likewise screen capture code with right space Make a python program that peruses the understudy data from a tab isolated values (tsv) record. The python program then, at that point, must makes a text document that will records the course grades of the understudies. Each line of the tsv record contains the Last Name, First Name, Midtrm1 score, Midtrm2 score, and the Last score of an understudy. An example of the understudy data is given in StudentInfoScore.tsv. Accept the quantity of understudies is somewhere around 1 and at generally 20. The program plays out the accompanying undertakings: Peruse the record name of the tsv document from the client. Open the tsv record and read the understudy data. Register the typical test score of every understudy. Dole out a letter grade to every understudy in light of the typical test score in the accompanying scale: A: 90 =< X B: 80 C: 70 D: 60 F: x < 60 Figure the normal of every test. Yield the last names, first names, test scores, and letter grades of the understudies into a text record named < x < 90 < x < 80 < x < 70 report.txt. Yield one understudy for each line and separate the qualities with a tab character. Yield the normal of every test, with two digits after the decimal point, toward the finish of report.txt. Answer: Utilize the arrangement detail to set the accuracy of the result. GIVEN "StudentInfoScore.tsv": Brenda Edan 70 45 59
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