📚 Data Structures & Algorithms

A collection of my Data Structures and Algorithms practice and problem-solving solutions, mainly using Python.

This repository documents my learning journey through coding problems from platforms such as Codeforces and LeetCode.

🎯 Goals

• Build strong problem-solving skills
• Learn Data Structures and Algorithms
• Improve Python programming
• Practice competitive programming
• Learn to write efficient solutions
• Analyze and improve time and space complexity

🧠 Topics

Programming Fundamentals

• Variables and Data Types
• Input and Output
• Conditional Statements
• Loops
• Functions
• Strings
• Lists
• Dictionaries
• Sets
• Tuples

Data Structures

• Arrays / Lists
• Strings
• Hash Tables
• Stacks
• Queues
• Linked Lists
• Trees
• Binary Search Trees
• Heaps
• Graphs

Algorithms

• Searching
• Sorting
• Binary Search
• Two Pointers
• Sliding Window
• Recursion
• Greedy Algorithms
• Backtracking
• Dynamic Programming
• Graph Algorithms

Complexity Analysis

• Big O O
• Big Omega Ω
• Big Theta Θ
• Time Complexity
• Space Complexity

💻 Languages

• Python
• C
• C++

🏆 Practice Platforms

• Codeforces
• LeetCode

📂 Repository Structure

DSA/
│
├── Codeforces/
│   ├── 4A_Watermelon.py
│   ├── 71A_Way_Too_Long_Words.py
│   └── ...
│
├── LeetCode/
│   ├── 1_Two_Sum.py
│   ├── 20_Valid_Parentheses.py
│   └── ...
│
├── GeeksforGeeks/
│   └── ...
│
└── README.md

📈 Learning Progress

I am solving problems regularly and improving my understanding of algorithms by focusing on:

Understand the Problem
        ↓
Find the Approach
        ↓
Write the Solution
        ↓
Test Edge Cases
        ↓
Analyze Complexity
        ↓
Improve the Solution

📝 Notes

Solutions are added as I learn new concepts and solve new problems.

The goal is not just to solve problems, but to understand why the solution works and how it can be optimized.

👨‍💻 Author

Athrav Singh

B.Tech CSE Student