
MyLab Programming with Pearson eText -- Access Card -- for Introduction to Java Programming and Data Structures, Comprehensive Version
11th Edition
ISBN: 9780134672816
Author: Liang
Publisher: PEARSON
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Chapter 10.4, Problem 10.4.1CP
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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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Chapter 10 Solutions
MyLab Programming with Pearson eText -- Access Card -- for Introduction to Java Programming and Data Structures, Comprehensive Version
Chapter 10.2, Problem 10.2.1CPChapter 10.3, Problem 10.3.1CPChapter 10.4, Problem 10.4.1CPChapter 10.4, Problem 10.4.2CPChapter 10.4, Problem 10.4.3CPChapter 10.4, Problem 10.4.4CPChapter 10.7, Problem 10.7.1CPChapter 10.7, Problem 10.7.2CPChapter 10.7, Problem 10.7.3CPChapter 10.7, Problem 10.7.4CP
Chapter 10.7, Problem 10.7.5CPChapter 10.8, Problem 10.8.1CPChapter 10.8, Problem 10.8.2CPChapter 10.9, Problem 10.9.1CPChapter 10.10, Problem 10.10.1CPChapter 10.10, Problem 10.10.2CPChapter 10.10, Problem 10.10.3CPChapter 10.10, Problem 10.10.4CPChapter 10.10, Problem 10.10.5CPChapter 10.10, Problem 10.10.6CPChapter 10.10, Problem 10.10.7CPChapter 10.10, Problem 10.10.8CPChapter 10.10, Problem 10.10.9CPChapter 10.10, Problem 10.10.10CPChapter 10.10, Problem 10.10.11CPChapter 10.11, Problem 10.11.1CPChapter 10.11, Problem 10.11.2CPChapter 10.11, Problem 10.11.3CPChapter 10.11, Problem 10.11.4CPChapter 10.11, Problem 10.11.5CPChapter 10.11, Problem 10.11.6CPChapter 10.11, Problem 10.11.7CPChapter 10, Problem 10.1PEChapter 10, Problem 10.2PEChapter 10, Problem 10.3PEChapter 10, Problem 10.4PEChapter 10, Problem 10.5PEChapter 10, Problem 10.6PEChapter 10, Problem 10.7PEChapter 10, Problem 10.8PEChapter 10, Problem 10.9PEChapter 10, Problem 10.10PEChapter 10, Problem 10.11PEChapter 10, Problem 10.12PEChapter 10, Problem 10.13PEChapter 10, Problem 10.14PEChapter 10, Problem 10.15PEChapter 10, Problem 10.16PEChapter 10, Problem 10.17PEChapter 10, Problem 10.19PEChapter 10, Problem 10.20PEChapter 10, Problem 10.21PEChapter 10, Problem 10.22PEChapter 10, Problem 10.23PEChapter 10, Problem 10.24PEChapter 10, Problem 10.25PEChapter 10, Problem 10.27PEChapter 10, Problem 10.28PE
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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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