Welcome to my personal collection of Python-based projects and problem-solving exercises! This repository is a reflection of my learning journey in programming, software development, and algorithmic thinking using Python — one of the most powerful and beginner-friendly languages.
This repository is organized into directories, each representing individual projects or topics of interest. The contents range from small utility programs to concept-driven applications and exploratory experiments. Every folder contains code, documentation (if applicable), and notes to help understand the thought process behind the implementations.
- Language: Python 3.x
- Libraries: Varies by project – includes standard modules and third-party libraries like
numpy,pandas,random,plotly, etc. - Tools: Jupyter Notebooks, command-line scripts
A significant section of this repository is dedicated to DSA — a fundamental area for anyone aiming to strengthen their problem-solving skills or prepare for technical interviews.
- Core Data Structures: Arrays
- Algorithmic Techniques: Sorting, Searching,
- Explanations: Well-commented code, and complexity analysis (where applicable)
The goal is not just to solve problems but to understand the why and how behind each solution.
This repository is a personal learning space, but I’m always open to discussions, suggestions, and collaborations. If you have feedback or want to contribute ideas, feel free to open an issue or drop a message.
All code in this repository is written with clarity and learning in mind. While some projects are small-scale or experimental, they each represent a step forward in mastering both programming and computational thinking.
Thanks for visiting! ⭐