WGU D335 Python Programming Practice Assessment 2: Comprehensive Evaluation of Core Programming Logic Including Input Processing, Arithmetic Computation, Iterative Multiplication and Distance Calculation Models, File Handling Using Open(), Read(), and Wri

WGU D335 Python Programming Practice Assessment 2: Comprehensive Evaluation of Core Programming Logic Including Input Processing, Arithmetic Computation, Iterative Multiplication and Distance Calculation Models, File Handling Using Open(), Read(), and Write() Methods, Text File Manipulation and String Concatenation Techniques, CSV File Parsing Using Python CSV Module, Dictionary Construction from Structured Data, Data Type Identification Using type() and name Attribute, Integer-Based Indexing and List Data Structure Manipulation, Unit Conversion Algorithms (Ounces to Pounds and Tons), Mathematical Operations Using Math Module Including Factorial Computation, Boolean Logic Evaluation and Conditional Branching, Formatted Output Using String Formatting and f-Strings, Exception-Free Input Handling, Loopless Procedural Programming Logic, Data Structure Traversal, Built-In Function Application, Modular Code Design Principles, Computational Problem Solving Using Arithmetic Operators Exam Questions Verified and Provided with Complete A+ Graded Answers Latest Updated 2026 Create a solution that accepts three integer inputs representing the number of times an employee travels to a job site. Output the total distance traveled to two decimal places given the following miles per employee commute to the job site. Output the total distance traveled to two decimal places given the following miles per employee commute to the job site: Employee A: 15.62 miles Employee B: 41.85 miles Employee C: 32.67 miles times_traveledA = int(input()) times_traveledB = int(input()) times_traveledC = int(input()) employeeA = 15.62 #miles employeeB = 41.85 #miles employeeC = 32.67 #miles distance_traveledA = times_traveledA * employeeA distance_traveledB = times_traveledB * employeeB distance_traveledC = times_traveledC * employeeC total_miles_traveled = distance_traveledA + distance_traveledB + distance_traveledC print('Distance: {:.2f} miles'.format(total_miles_traveled)) Create a solution that accepts an input identifying the name of a text file, for example, "WordTextF". Each text file contains three rows with one word per row. Using the open() function and write() and read() methods, interact with the input text file to write a new sentence string composed of the three existing words to the end of the file contents on a new line. Output the new file contents. file_name = input() with open(file_name, 'r') as f: word1 = str(ine()).strip() word2 = str(ine()).strip() word3 = str(ine()).strip() f = open(file_name, 'r') lines = ().splitlines() lines = ' '.join(lines) () print(f'{word1}n{word2}n{word3}n{lines}') Create a solution that accepts an integer input representing any number of ounces. Output the converted total number of tons, pounds, and remaining ounces based on the input ounces value. There are 16 ounces in a pound and 2,000 pounds in a ton. ounces_per_pound = 16 pounds_per_ton = 2000 number_ounces = int(input()) tons = number_ounces // (ounces_per_pound * pounds_per_ton) remaining_ounces = number_ounces % (ounces_per_pound * pounds_per_ton) pounds = remaining_ounces // ounces_per_pound remaining_ounces = remaining_ounces % ounces_per_pound print('Tons: {}'.format(tons)) print('Pounds: {}'.format(pounds)) print('Ounces: {}'.format(remaining_ounces)) Create a solution that accepts an input identifying the name of a CSV file, for example, "". Each file contains two rows of comma-separated values. Import the built-in module csv and use its open() function and reader() method to create a dictionary of key:value pairs for each row of comma-separated values in the specified file. Output the file contents as two dictionaries. import csv input1 = input() with open(input1, "r") as f: data = [row for row in r(f)] for row in data: even = [row[i].strip() for i in range(0, len(row), 2)] odd = [row[i].strip() for i in range(1, len(row), 2)] pair = dict(zip(even, odd)) print(pair) Create a solution that accepts an integer input representing the index value for any any of the five elements in the following list: various_data_types = [516, 112.49, True, "meow", ("Western", "Governors", "University"), {"apple": 1, "pear": 5}] Using the built-in function type() and getting its name by using the .name attribute, output data type (e.g., int”, “float”, “bool”, “str”) based on the input index value of the list element.