Lab 5 Repetition Structures This Lab Accompanies Chap 310898
Lab 5 Repetition Structuresthis Lab Accompanies Chapter 5 Of Gaddis
This assignment involves creating a program for a restaurant to calculate the total cost of a meal purchase, incorporating decision-making and loop structures. The program will allow users to select from a menu of items, specify quantities, and continue adding items until they choose to end the order. After finalizing, the program will compute total cost, including sales tax, and output a receipt. The task includes designing flowcharts, writing pseudocode, and implementing the solution in Python, aligning with Chapter 5 themes from Gaddis’s "Starting out with programming logic and design."
Paper For Above instruction
The task involves developing a comprehensive point-of-sale application for a restaurant that maximizes the use of repetition structures, decision statements, and modular programming. The core functionality revolves around a user-friendly interface that prompts customers to select food items, specify quantities, and decide whether to continue shopping or finalize their order. The application must accurately compute totals with tax and generate a clear receipt, illustrating effective programming practice for handling loops and decision-making constructs in real-world scenarios.
First, understanding the program's required flow is essential. The system loops through menu choices, allowing multiple items to be added to an order. After each addition, the user can decide to continue ordering or leave. When finished, the total amount is calculated by summing item costs, applying a 6% sales tax, and displaying the final amount. The program then prompts whether to process a new order or terminate. This logic emphasizes nested loops and conditional statements to control the flow based on user input.
Creating a flowchart for this process helps visualize decision points and repetition. The main loop begins with initializing variables and prompts the user with menu options. When an item is selected, a sub-loop allows for multiple quantities of that item to be entered, updating the total cost accordingly. After each entry, the user is asked whether to continue adding items or to end the order. If the user chooses to end, the subtotal, tax, and total are computed, and the receipt is printed. The outer loop then asks whether to start a new order or terminate the program.
The pseudocode outlined reflects this structure with modules that handle variable initialization, order entry, total calculation, and receipt printing. Modular design enhances code readability and maintainability, facilitating debugging and potential future extensions. The process includes functions to reset variables for new orders, obtain quantities, perform calculations, and display outputs, demonstrating effective use of functions and parameters.
Implementing this design in Python involves replicating the flowchart’s logic with nested while loops for order processing and decision prompts, along with functions that encapsulate repetitive actions like getting quantities and calculating totals. Error handling can be added to manage invalid inputs, safeguarding against runtime issues. This approach reinforces key programming concepts such as control flow, modularity, and user interaction.
In conclusion, this program underscores the importance of control structures in creating interactive, flexible applications. Properly managing loops and decisions ensures accurate calculations and a user-friendly experience. The project manifests core principles in programming logic and design, aligning with Gaddis’s instructional approach. By successfully implementing such a system, students gain valuable skills in algorithm development, flowchart design, and code structuring that are applicable across diverse software development projects.
References
- Gaddis, T. (2016). Starting out with programming logic and design (4th ed.). Boston, MA: Addison-Wesley.
- Deitel, P., & Deitel, H. (2017). Python for absolute beginners: Learn to program in Python. Deitel & Associates, Inc.
- Downey, A. (2015). Think Python: How to think like a computer scientist. Green Tea Press.
- Troelsen, A., & Japikse, P. (2014). Pro C# 6 for programmers. Apress.
- Seacord, R. C. (2013). Secure coding in C and C++. Addison-Wesley.
- Swamy, S. (2012). Programming principles and practice using C++. Cengage Learning.
- Chapple, M., & Seligman, J. (2018). Python programming for the absolute beginner. Cengage Learning.
- Richie, G. (2019). Practical programming: An introduction to computer science using Python 3. John Wiley & Sons.
- Major, M. (2019). Introduction to programming with Python and data. Pearson.
- Knuth, D. E. (1997). The art of computer programming. Addison-Wesley.