[ban265] hw3 and hw4

Makefile

@@ -21,6 +21,16 @@ run_hw2:
 	$(DOCKER_BASE_CMD) \
 		ban265 "hw2.py"
 
+.PHONY: run_hw3
+run_hw3:
+	$(DOCKER_BASE_CMD) \
+		ban265 "hw3.py"
+
+.PHONY: run_hw4
+run_hw4:
+	$(DOCKER_BASE_CMD) \
+		ban265 "hw4.py"
+
 .PHONY: fmt
 fmt:
 	$(DOCKER_BASE_CMD) \

hw3.py

+# Ang, Michael
+# BAN 265 A
+# Homework 3
+# 2024-03-06
+
+# https://www.dropbox.com/s/8ydqijf422reflq/PY_hw3.docx?e=1&dl=0
+
+# Question 1
+# BMI for a person is calculated as weight in kg / (height in meters * height in meters). You need to calculate everyone in the following list variables. (Hint: 23.31, 25.98, 24.54)
+v_weight = [65, 87, 76]
+v_height = [1.67, 1.83, 1.76]
+print([round(w / h**2, 2) for w, h in zip(v_weight, v_height)])
+
+# Question 2
+# You need to calculate the sale price after discount for each item in the following dictionary variables. (Hint: Apple 58.5, Book 60.9, Computer 60.8)
+v_original_price = {"Book": 87, "Computer": 76, "Apple": 65}
+v_discount_rate = {"Apple": 0.1, "Computer": 0.2, "Book": 0.3}
+
+print({k: round(v - (v * v_discount_rate[k]), 2) for k, v in v_original_price.items()})
+
+# Question 3
+# Identify the data type for the following data.
+print(type(1))  # type: int
+print(type("1"))  # type: str
+print(type([1, 2, 3]))  # type: List[int]
+print(type(["1", "2", "3"]))  # type: List[str]
+print(type("[1, 2, 3]"))  # type: str
+print(type({1: 5, 2: 8}))  # type: dict
+print(type({"1": 5, "2": 8}))  # type: dict
+print(type("{1: 5, 2: 8}"))  # type: str

hw4.py

+# Ang, Michael
+# BAN 265 A
+# Homework 4
+# 2024-03-06
+
+# https://www.dropbox.com/s/4c99e3pq5slmrg5/PY_hw4.docx?e=1&dl=0
+
+# Question 1
+# Download the following transaction data https://www.dropbox.com/s/k97psmvvom8p8jl/supermarket.csv?dl=0. (Warning: do not use excel to open and save. Excel will only save the first 1 million records and the dataset has more than 3 million records). This data has the information for each purchased item with its “Date, Transaction Number, UPC Number, Product Name, Customer Account, Qty, Regular Price, Sale Price, and Discount”. Please write the python code to show the Date, Transaction Number, UPC Number, Customer Account, and Sale Price for the 2000000th records. (Hint: 2016-09-06 11:54:56.513, T00700048761, P0007800000209, C0044000035045, 4.99)
+
+import csv
+
+target_record = 2_000_000
+with open("record.csv", "r") as file:
+    reader = csv.DictReader(file)
+    for i, row in enumerate(reader):
+        if i == target_record:
+            print("Date: ", row.get("Date"))
+            print("Transaction Number: ", row.get("Transaction Number"))
+            print("Customer Account: ", row.get("Customer Account"))
+            print("Sale Price: ", row.get("Sale Price"))

main.py

-import numpy as np
-import pandas as pd
+books = ["The Great Gatsby", "1984", "To Kill a Mockingbird"]
+checked_out_books = {}
 
-s = pd.Series(np.random.randn(5), index=["a", "b", "c", "d", "e"])
+action = input("Do you want to 'check in' or 'check out' a book? ").lower()
 
-print(s)
+if action == "check in":
+    book = input("Enter the name of the book to check in: ")
+    if book in checked_out_books:
+        del checked_out_books[book]
+        books.append(book)
+        print(f"{book} checked in successfully.")
+    else:
+        print("This book was not checked out.")
+elif action == "check out":
+    print("Available books:")
+    for book in books:
+        print(book)
+    book = input("Enter the name of the book to check out: ")
+    if book in books:
+        user = input("Enter your name: ")
+        books.remove(book)
+        checked_out_books[book] = user
+        print(f"{book} checked out by {user}.")
+    else:
+        print("Book not available.")
+else:
+    print("Invalid action")

record.csv

+Date,Transaction Number,UPC Number,Product Name,Customer Account,Qty,Regular Price,Sale Price,Discount
+"2016-09-06 11:54:56.513","1","P0007800000209","A", "C0044000035045",4.99,1,5,0.1
+"2016-09-06 11:54:56.513","2","P0007800000209","B", "C0044000035045",4.99,1,5,0.1
+"2016-09-06 11:54:56.513","T00700048761","P0007800000209","C", "C0044000035045",4.99,1,5,0.1
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