Python Programming: An Introduction to Computer Science, 3rd Ed.
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ISBN: 9781590282755
Author: John Zelle
Publisher: Franklin, Beedle & Associates
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Chapter 12, Problem 3TF
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A good design process will involve considerable trial and error in it.
Therefore, the given statement is “True”.
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Need help with python code! How do I simplify my code for a beginner to understand, simple fixed format and centering? Such as:
print(f"As an int variable: {age_int:^7}")
print(f"In numeric binary: {age_int:^7b}")
My Code:name = input("Enter your name: ")print(f"In text name is: {' '.join(name)}")decimal_values = []binary_values = []for letter in name: ascii_val = ord(letter) binary_val = format(ascii_val, '08b') decimal_values.append(str(ascii_val)) binary_values.append(binary_val)# Loop through each letter:print(f"In ASCII decimal: {' '.join(decimal_values)}")print(f"In ASCII binary: {' '.join(binary_values)}")# Ageage_str = input("Enter your age: ")age_int = int(age_str)print(f"As a string \"{age_str}\": {' '.join(age_str)}")age_decimal_values = []age_binary_values = []for digit in age_str: ascii_val = ord(digit) binary_val = format(ascii_val, '07b') age_decimal_values.append(str(ascii_val)) age_binary_values.append(binary_val)print(f"In ASCII decimal: {'…
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Python Programming: An Introduction to Computer Science, 3rd Ed.
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- Given a relation schema R = (A, B, C, D, E,G) with a set of functional dependencies F {ABCD BC → DE B→ D D→ A}. (a) Show that R is not in BCNF using the functional dependency A → BCD. (b) Show that AG is a superkey for R (c) Compute a canonical cover Fc for the set of functional dependencies F. Show your work. (d) Give a 3NF decomposition of R based on the canonical cover found in (c). Show your work. (e) Give a BCNF decomposition of R using F. Show your work.arrow_forwardThe following entity-relationship (ER) diagram models a database that helps car deal- ers maintain records of customers and cars in their inventory. Construct a relational database schema from the ER diagram. Your set of schemas should include primary-key and foreign-key constraints and you should ensure there are no redundant schemas. has_model model modelID name vehicle has_vehicle VIN dealer_ID brand name has_available_option has_option has_dealer options options_ID specification dealer dealer ID name customer_ID owned_by customer customer ID namearrow_forwardA relation schema R = (A, B, C, D, E) with a set of functional dependencies F= {D A CAB} is decomposed into R₁ = (A, B, C) and R2 = (C, D, E). (a) Is this a lossless-join decomposition? Why or why not? (b) Is the decomposition dependency preserving? Why or why not?arrow_forward
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