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Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
In this project, we apply our cumulative understanding of Object-Oriented Architecture, SQLite Database Management, Datetime Arithmetic, and Defensive Error Handling to engineer a high-productivity Command-Line Task & To-Do Management Engine.
Our To-Do application manages task lifecycles stored in an embedded tasks.db SQLite database:
+-----------------------------------------------------------------------------+ | tasks.db | | | | id (PK) | title | priority (HIGH/MED/LOW) | status | due_date | created_at | +-----------------------------------------------------------------------------+
HIGH, MEDIUM, and LOW.datetime module to flag OVERDUE tasks with visual alert tags.How data and code flow step-by-step
Users expect 1-based indexing for task lists (Task #1, #2), while Python lists use 0-based indexing. Always convert cleanly with idx = user_input - 1.
Guard against operations on empty task lists by displaying a friendly message ("No tasks found!") instead of raising an IndexError.
Extend the CLI To-Do App to support task priority levels (HIGH, MEDIUM, LOW) and display the active task list sorted by urgency.
status column?cursor.lastrowid return after executing INSERT INTO tasks ...?VALUES (?, ?, ?)) used when adding new tasks?In the next lesson, we will continue your intermediate Python journey with Library Management System (15: Capstone Project).
Continue learning with hands-on practice, examples, and exercises in the upcoming topic.
| Previous Lesson | Next Lesson |
|---|---|
| Project 2: API-based Dictionary App | Library Management System |
Test your understanding of this lesson with 5 questions. Each question has one correct answer.