https://github.com/qtle3/retail_returns

This Python program helps determine whether an item is eligible for return at a retail store. It checks various criteria such as possession of a receipt, the time since purchase, whether the item is a food product, the condition of the item, and whether the item was marked as a final sale.
https://github.com/qtle3/retail_returns

Last synced: about 1 year ago
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This Python program helps determine whether an item is eligible for return at a retail store. It checks various criteria such as possession of a receipt, the time since purchase, whether the item is a food product, the condition of the item, and whether the item was marked as a final sale.

• Host: GitHub
• URL: https://github.com/qtle3/retail_returns
• Owner: qtle3
• Created: 2024-08-07T03:22:56.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-10T04:23:18.000Z (almost 2 years ago)
• Last Synced: 2025-02-14T16:01:52.693Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Retail Store Return Policy Checker

This Python program helps determine whether an item is eligible for return at a retail store. It checks various criteria such as possession of a receipt, the time since purchase, whether the item is a food product, the condition of the item, and whether the item was marked as a final sale. The program guides the user through a series of questions and provides a decision on the return eligibility based on predefined store policies.

## Key Concepts Covered

- **User Input Handling**: The program utilizes functions to capture and validate user inputs, ensuring correct data types and responses (e.g., yes/no questions).

  

- **Conditional Logic**: It uses conditional statements (`if-else`) to evaluate multiple factors in determining the eligibility of the item for return.

  

- **Logging**: The program implements logging to track the flow and decisions made during the execution, which is useful for debugging and auditing.

  

- **Modularity**: The program is broken down into smaller, reusable functions (`yes_no_input`, `numeric_input`, and `log_and_print`), promoting code reuse and readability.