Expense Summary

A small report can filter records and then group totals by category.

expense_summary.py

expenses = [
    {"category": "tools", "amount": 18},
    {"category": "books", "amount": 35},
    {"category": "tools", "amount": 12},
]

min_amount = 

totals = {}
for expense in expenses:
    if expense["amount"] < min_amount:
        continue
    category = expense["category"]
    totals[category] = totals.get(category, 0) + expense["amount"]

parts = []
for category in sorted(totals):
    parts.append(category + "=" + str(totals[category]))

print("summary=" + ";".join(parts))

expenses = [
    {"category": "tools", "amount": 18},
    {"category": "books", "amount": 35},
    {"category": "tools", "amount": 12},
]

min_amount = 

totals = {}
for expense in expenses:
    if expense["amount"] < min_amount:
        continue
    category = expense["category"]
    totals[category] = totals.get(category, 0) + expense["amount"]

parts = []
for category in sorted(totals):
    parts.append(category + "=" + str(totals[category]))

print("summary=" + ";".join(parts))

report pipeline Case-study code often combines earlier ideas: filtering, grouping, and sorted output.