04-23: Full Expense Tracker

Home  |  All Projects  |  Notes  |  Exercises  |  Quiz Hub

A comprehensive CRUD expense tracker that ties together the whole course: JSON persistence, CSV export, datetime filtering, pathlib, exception handling, and clean function design. Includes per-category budget tracking with over/warning/OK status.

Topics covered: json.load/dump · csv.DictWriter · datetime · pathlib.Path · CRUD with JSON · budget comparison · monthly filtering · try/except · functions

Difficulty: ⭐⭐⭐ Intermediate–Advanced

---

How to Run

python main.py

Data stored in expense_tracker.json. Exports to expenses_export.csv.

---

Sample Budget Report

  Budget Report — June 2025
  Category          Spent     Budget     %  Status
  ──────────────────────────────────────────────────────
  Food            ৳  2,120   ৳  5,000   42%  ✅ OK
  Transport       ৳     60   ৳  2,000    3%  ✅ OK
  Education       ৳    550   ৳  3,000   18%  ✅ OK
  Entertainment   ৳    250   ৳  2,000   13%  ✅ OK
  ──────────────────────────────────────────────────────
  TOTAL           ৳  3,960   ৳ 28,000   14%

---

Skills Demonstrated

Skill	Where
JSON persistence	load_store() / save_store()
CSV export	export_csv() using DictWriter
datetime formatting	Date input and monthly filter
pathlib.Path	DATA_FILE.exists(), .resolve()
Exception handling	All numeric input() calls
Budget comparison	budget_report() with % and status
CRUD pattern	add/delete/update_expense()