🚀 Coding Portfolio

A comprehensive collection of my programming journey through various MOOCs, OpenCourseWare, books, and coding challenges. This repository demonstrates my continuous learning approach and problem-solving skills across multiple programming languages and concepts.

📚 Currently Studying

🎓 Courses in Progress

• MIT 6.0001 - Introduction to Computer Science and Programming in Python
• Missing Semester - The Missing Semester of Your CS Education (MIT)
• Chai aur JavaScript - JavaScript Fundamentals and Web Development
• Python Programming MOOC 2025 - University of Helsinki

📖 Books Currently Reading

• Python Crash Course (3rd Edition) by Eric Matthes
• Eloquent JavaScript (4th Edition) by Marijn Haverbeke

🎯 Upcoming Learning Goals

📋 Planned Courses

• MIT 6.0002 - Introduction to Computational Thinking and Data Science
• MIT 6.100L - Introduction to CS and Programming using Python
• MIT 6.006 - Introduction to Algorithms

📚 Books on My Reading List

• Effective C (2nd Edition) by Robert C. Seacord
• Introduction to Algorithms (4th Edition) by Cormen, Leiserson, Rivest, and Stein

📁 Repository Structure

coding-portfolio/
├── advent-of-code/           # Advent of Code solutions
│   └── 2024/
│       ├── inputs/           # Challenge input files
│       └── solutions/        # Daily challenge solutions
├── chai-aur-code/           # Chai aur Code tutorials and exercises
│   └── chai-aur-js/         # JavaScript fundamentals
├── MIT/                     # MIT OpenCourseWare materials
│   ├── missing-semester/    # Command line, version control, debugging
│   └── MIT-6.0001/         # Python programming fundamentals
│       ├── challenges/      # Additional practice problems
│       └── ps0/            # Problem sets
└── README.md               # This file

🏆 Highlights

🎄 Advent of Code 2024

Completed the annual programming challenge, solving daily algorithmic puzzles:

• Day 1: Historian Hysteria - List processing and distance calculations
• Day 2: Red-Nosed Reports - Sequence analysis and safety validation
• Day 3: Mull It Over - Regular expressions and string parsing
• Day 4: Ceres Search - 2D grid search algorithms

💻 Skills Demonstrated

• Python: Data structures, algorithms, file I/O, string manipulation
• JavaScript: ES6+ features, DOM manipulation, functional programming
• Problem Solving: Algorithmic thinking, optimization, debugging
• Version Control: Git workflows, collaborative development
• Command Line: Shell scripting, automation, system administration

🔧 Technologies & Tools

📈 Learning Philosophy

This repository reflects my commitment to:

• Continuous Learning: Regularly engaging with new concepts and technologies
• Practical Application: Implementing theoretical knowledge through hands-on coding
• Problem Solving: Tackling challenges from multiple angles and optimizing solutions
• Documentation: Writing clean, well-commented code for future reference
• Community Learning: Engaging with educational platforms and coding communities

🎯 Goals & Objectives

Short-term (Next 3 months)

• Complete MIT 6.0001 problem sets
• Participate in Advent of Code 2025
• Master JavaScript fundamentals through Chai aur Code
• Complete Python Programming MOOC 2025

Medium-term (Next 6 months)

• Start MIT 6.0002 (Computational Thinking and Data Science)
• Begin data structures and algorithms practice
• Contribute to open-source projects
• Build portfolio projects showcasing learned concepts

Long-term (Next year)

• Complete MIT's introductory CS sequence
• Master algorithms and data structures
• Explore specialized areas (ML, web dev, systems programming)
• Mentor others in their coding journey

🤝 Connect With Me

I'm always open to discussing programming concepts, learning strategies, or potential collaboration opportunities. Feel free to reach out!

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"The best way to learn programming is by programming." - This repository is a testament to that philosophy, showcasing my dedication to continuous improvement and hands-on learning.