🚀 DSA with Python

Mastering Data Structures & Algorithms, One Commit at a Time

A living repository documenting my journey through the world of algorithms and data structures

🎯 Explore • 💻 LeetCode Solutions • 🤝 Connect

---

🎯 Curriculum

🌱 Foundations Basics Compiler vs Interpreter Variables, Keywords & Identifiers Operators & Data Types Functions & Control Flow Loops & Problem Solving Complexity Analysis Time Complexity ⏱️ Space Complexity 💾 Big-O Notation Recursion Loops vs Recursion Recursive Stack Visualization Recursive Tree Patterns

🏗️ Data Structures Linear Structures Arrays (NumPy Implementation) Singly Linked List Doubly Linked List Circular Linked List Abstract Data Types Stack (LIFO) Queue (FIFO) Deque (Double-ended) Circular Queue 🔜 Coming Soon Trees & Graphs Heaps & Priority Queues Hash Tables

---

🎪 What Makes This Different?

class LearningPhilosophy:
    def __init__(self):
        self.approach = "Learn by Building"
        self.focus = ["Understanding", "Implementation", "Optimization"]

    def commit(self):
        while self.curiosity > 0:
            self.learn()
            self.implement()
            self.solve_problems()
            self.document()
        return "Master DSA 🎓"

This isn't just another DSA repository—it's a documented learning journey. Each implementation includes:

• 📝 Clear explanations and comments
• 🎨 Visual representations where applicable
• ⚡ Time and space complexity analysis
• 🧪 Practice problems and real-world applications

---

💡 Beyond the Basics

While this repo covers DSA fundamentals and implementations, I'm also grinding LeetCode daily to sharpen my problem-solving skills.

🔥 Want to see my LeetCode solutions?

Pattern recognition • Optimized solutions • Multiple approaches

---

🛠️ Tech Stack

Language: Python 3.x
Libraries:
  - NumPy: For efficient array operations
  - Built-in collections: deque, heapq (coming soon)
Environment: VS Code
Approach: First Principles + Practical Implementation

---

🚦 Quick Start

# Clone this repository
git clone https://github.com/ggauravky/DSA-with-Python.git

# Navigate to the project
cd "DSA with Python"

# Explore any topic
cd "001 Basics"

# Run and experiment
python "006 Functions.py"

💡 Pro Tip: Start with 001 Basics if you're new, or jump directly to data structures if you're comfortable with Python fundamentals.

---

📊 Progress Tracker

[████████████████░░░░] 65% Complete

✅ Python Fundamentals
✅ Complexity Analysis
✅ Recursion Mastery
✅ Arrays & Linked Lists
✅ Stack, Queue, Deque
🔄 Trees & Graphs (In Progress)
⏳ Dynamic Programming
⏳ Advanced Algorithms

---

🤝 Connect With Me

Gaurav

Building in public • Learning every day • Open to collaborations

---

⭐ Star this repo if you find it helpful!

"The only way to learn a new programming language is by writing programs in it." - Dennis Ritchie

Last Updated: January 2026 | Continuously Evolving