Python Data Types in Action: Building an Order Processing System
In modern e-commerce platforms, order processing is a critical component. Whether you're running a small online store or a large retail business, being able to calculate costs, apply taxes, and determ
1. Scenario
An online shopping platform needs a system to process orders. When a customer places an order, the system should:
Store the customer's name (
string
).Store the number of items ordered (
int
).Store the total price, including tax (
float
).Check if the customer is eligible for free shipping (
boolean
).
The system should calculate the final amount after applying tax and determine if free shipping is applicable for orders above ₹1000.
2. Problem Statement
Develop a Python program that takes a customer's name, the number of items purchased, and the total amount before tax. The program should:
Calculate the total cost after adding GST (18%).
Check if the order qualifies for free shipping (orders above ₹1000).
Display the order summary with all details.
3. Why We Need This Use Case
In modern e-commerce platforms, order processing is a critical component. Whether you're running a small online store or a large retail business, being able to calculate costs, apply taxes, and determine shipping eligibility in real-time is essential.
This use case showcases how basic Python data types (int, float, str, bool) are applied in a real-world business scenario to:
Collect and validate customer input
Perform tax calculations
Determine shipping eligibility
Display a clean, user-friendly order summary
It also introduces beginner programmers to structured, modular, and functional thinking using Python.
4. When We Need This Use Case
This use case is useful when:
You're building a simple checkout/order processing module for an e-commerce application.
You want to teach or learn how Python handles user input and performs calculations.
You need to create testable scripts for business simulations or educational tools.
You’re developing a system that needs to log customer details and transaction summaries.
5. Challenge Scenarios
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