Python Basics

A collection of console applications tracing the progression from procedural multi-file scripting to object-oriented system design in Python.

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📌 Overview

This repository documents my practical journey through Python development fundamentals. Each directory contains an independent application that focuses on solving a distinct problem while applying core programming principles, robust input handling, and clean code architecture.

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🛠️ Projects Summary

Project	Core Focus	Concepts Implemented
📐 Right Triangle Calculator	Modular Scripting & Math	Function decomposition, file I/O operations, error/exception handling (try/except).
📋 Task Manager CLI	Object-Oriented Programming (OOP)	Class hierarchies, encapsulated state, data structures (lists/dictionaries), system flow control.

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🧠 Key Learnings & Architecture Evolution

1. Modular Architecture: Moving from monolithic scripts to modular file structures (main.py, calculus.py, validation.py, etc.) for clear separation of concerns.
2. Resilient User Input: Implementing retry loops and validation pipelines to prevent program crashes on invalid inputs.
3. State & OOP Design: Transitioning from simple scalar calculations to rich class structures (Manager, Category, Task) with state persistence across runtime.
4. Data Management: Working with persistent file output logs and structured multi-variable data filtering.

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🚀 How to Run

Prerequisites

• Python 3.x installed.

Execution

Each project is fully self-contained in its respective folder. Open your shell in the root directory and run:

1. Right Triangle

cd Right_Triangle
python main.py

2. Task Manager

cd Task_Manager
python main.py