Data Structures and Algorithms (DSA)

Welcome to my comprehensive Data Structures and Algorithms (DSA) repository! 🚀

This repository is a structured collection of my solutions and implementations for various DSA concepts. It serves as a personal knowledge base and a practical reference guide to mastering algorithmic problem-solving.

📌 Repository Overview

The repository is neatly organized by topic, covering a wide array of fundamental and advanced data structures and algorithmic patterns. Each folder contains solutions to specific problems or implementations of core concepts, primarily written in C++ and Java.

Key Topics Covered:

1. Basic to Advanced Data Structures:

   • Array, String, Linked List (Singly & Doubly)
   • Stack and queue
   • Binary Tree & Binery Search Tree (BST)
   • Graph (BFS, DFS, Shortest Paths, Minimum Spanning Trees)
   • HEAP and TRIE

2. Algorithmic Paradigms:

   • Recursion & Backtracking
   • Sorting & Searching (including extensive Binary Search applications)
   • Dynamic Programming (DP) (1D, 2D, Strings, Subsequences)
   • Bit Manipulation

3. Specialized Scenarios:

   • Unique Data Structures by coding platfroms

🛠️ Languages Used

• C++: The primary language for most algorithmic solutions, utilizing STL for optimal performance.
• Java: Used extensively for Object-Oriented implementations and standard library capabilities.

🚀 How to Navigate

1. Clone the repository:

   git clone https://github.com/shrihari7396/DSA.git

2. Explore by Topic: Navigate into the specific folder of the topic you want to study (e.g., cd Graph/ShortestPathAlgorithms).
3. Review the Code: Open the .cpp or .java files to review the problem-solving logic, time-complexity considerations, and clean coding practices.

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Consistent practice builds algorithmic intuition. Keep coding! 💻