Master Object-Oriented Programming (OOP) in Python — To-Do List App with JSON Storage | Day 4
code- https://github.com/SIDDHANTSAXENA2004...
Welcome to Day 4 of the 15-Day Python AI Masterclass! 🚀
Today, we take your Python coding skills to the next level by mastering Object-Oriented Programming (OOP) — the foundation of every real-world AI and software project.
In this hands-on session, we’ll rebuild our To-Do List App (v2) using classes, objects, methods, and JSON storage so that your app saves data permanently — just like professional applications do.
🔍 What You’ll Learn Today:
✅ Python File Handling (open, read, write, JSON save/load)
✅ Error Handling with try/except/finally
✅ Core OOP Concepts — class, self, __init__, methods, attributes
✅ Building reusable, scalable Python code
✅ Saving and loading data using JSON files
💻 Project of the Day:
🗂 To-Do List App v2 — A fully functional, object-oriented command-line app that stores tasks persistently in a JSON file.
📚 Timestamps:
0:00 Intro | Why OOP is important
0:49 Error Handling with Try-Except
2:00 Intro to OOP in Python
6:10 File Handling Basics
12:12 Understanding JSON
18:48 Building To-Do Functions
35:15 Classes vs Functions Explained
36:40 Creating ToDoList Class
47:15 Integrating OOP + File Handling
59:15 Full Project Demo
1:00:35 Preview of Day 5 (Data Science with NumPy)
By the end, you’ll confidently structure Python projects using OOP — the same principle used in AI apps, APIs, and LangChain workflows.
📅 Next (Day 5): Intro to Data Science with NumPy — your gateway to AI math & data manipulation!
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