Coding Basics
This space is about returning to the roots of programming while staying curious about where it’s headed. It’s a place to revisit core concepts — variables, loops, data structures, logic — and see them with fresh eyes. Whether you’re brushing up on fundamentals or diving into new ideas, the goal is clarity, confidence, and creative problem-solving.
I’ll be exploring classic topics alongside modern techniques, sharing experiments, breakdowns, and reflections on how I approach code today.
Object Oriented Programming
Overview
Object‑oriented programming (OOP) is a way of organizing software around objects — self‑contained units that combine data and behavior. Instead of writing long, linear code, OOP models programs after real‑world concepts, making systems easier to understand, maintain, and extend.
Trees
Tree structures — like binary trees or search trees — become far more intuitive when modeled as objects. Each node can be an object containing its value and references to child nodes. Methods like insert(), traverse(), or find() belong to the tree or node class, making the structure modular and easy to visualize.
Queues
A queue object represents a real‑world waiting line. It stores elements internally and exposes behaviors such as enqueue() and dequeue(). Encapsulation ensures the internal list or pointer logic stays hidden, while the queue behaves predictably no matter how it’s implemented.
Arrays
Arrays can be represented as objects that store values and provide behaviors like inserting, removing, or searching. Instead of manually managing indexes, an array object exposes clear methods (append(), pop(), sort()), encapsulating the internal details while giving developers a clean interface.
Real‑World Entities
Objects can represent meaningful concepts like bank accounts, students, or shapes. A bank account object holds a balance and provides actions like deposit() or withdraw(). A shape object might define methods like area() or draw(). These examples show how OOP mirrors real‑world thinking.
Tree Visualizer Program
This project demonstrates how array-based binary trees can be visualized and interacted with using Python and Tkinter. It includes features like node insertion, parent-child highlighting, and animated tree building — all designed to make abstract data structures more intuitive.