8. Define a customer class with properties: customerID, customerName, City, Rating, LastOrderSubmitDate where City has values...
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8. Define a customer class with properties: customerID, customerName, City, Rating, LastOrderSubmitDate where City has values such as San Francisco, Los Angeles, New York,, etc., Rating has three possible values A, B, or C, and the LastOrderSubmitDate stores the last time the customer submitted an order in this format: yyyy-mm-dd. This class has one method: DaysSinceLastOrder. This method returns the days from a the customer's last order submit date to current date. customerll) C101 C106 a. Write a Python program to define the customer class. b. A CSV file named customer.cs custoomerName City San Francisco New York Los Angeles C103 Peter Paul Mary er.csv is already created with customer data as follow: Rating A B A LastOrder SubmitDate 2019-08-20 2021-03-15 2020-05-15 Write a Python program to read the customer.csv file, and create a list of customer objects where each customer object is initialized with data retrieved from the csv file. 8. Define a customer class with properties: customerID, customerName, City, Rating, LastOrderSubmitDate where City has values such as San Francisco, Los Angeles, New York,, etc., Rating has three possible values A, B, or C, and the LastOrderSubmitDate stores the last time the customer submitted an order in this format: yyyy-mm-dd. This class has one method: DaysSinceLastOrder. This method returns the days from a the customer's last order submit date to current date. customerll) C101 C106 a. Write a Python program to define the customer class. b. A CSV file named customer.cs custoomerName City San Francisco New York Los Angeles C103 Peter Paul Mary er.csv is already created with customer data as follow: Rating A B A LastOrder SubmitDate 2019-08-20 2021-03-15 2020-05-15 Write a Python program to read the customer.csv file, and create a list of customer objects where each customer object is initialized with data retrieved from the csv file.
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Accounting concepts and applications
ISBN: 978-0538745482
11th Edition
Authors: Albrecht Stice, Stice Swain
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