Day 6 Demo: Expense Tracker

Add New Expense

Expense Analysis

Python Code Example

Here's how you'd handle expenses in Python:

# List to store expenses
expenses = []

# Add an expense (dictionary)
expense = {
    "amount": 25.50,
    "category": "Food",
    "description": "Lunch at cafe",
    "date": "2026-02-24"
}

expenses.append(expense)

# Calculate total
total = sum(e["amount"] for e in expenses)
print(f"Total: ${total:.2f}")

# Save to file
import json
with open("expenses.json", "w") as f:
    json.dump(expenses, f, indent=2)
            

Try the Python terminal version for the full experience!

💡 What This Teaches

Lists: Store multiple expense records
Dictionaries: Organize expense data with keys and values
File I/O: Save and load data using JSON
Data Analysis: Calculate totals, averages, and categories
User Input: Validate and process user interactions

💰 Expense Tracker

Add New Expense

Expense Analysis

Python Code Example

💡 What This Teaches