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Complete Data Structures and Algorithm Repo.
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Complete Data Structures and Algorithm Repo

Welcome to the Complete Data Structures and Algorithm Repo! This repository contains a comprehensive collection of data structures and algorithms implemented in various programming languages. Whether you are a beginner or an experienced programmer, this repository aims to serve as a valuable resource to enhance your understanding and implementation of fundamental data structures and algorithms.

Table of Contents

  1. ALGORITHMS

    • Array
    • Linked List

  2. DATA STRUCTURES

    • Graph
    • Linked List
    • Recursion
    • Trees
    • ...

  3. DSA BABBAR

    • Searching
    • Sorting
    • ...

  4. GFG POTD

    • April
    • December
    • February
    • July
    • June
    • March
    • November
    • October

  5. SEARCHING AND SORTING

  6. CONTRIBUTING

  7. LICENSE

Introduction

The purpose of this repository is to provide a centralized location for learning and implementing data structures and algorithms. Each data structure and algorithm is implemented in multiple programming languages, enabling you to explore different language-specific implementations and gain a deeper understanding of their underlying concepts.

Data Structures

The repository includes a wide range of commonly used data structures, such as arrays, linked lists, stacks, queues, binary trees, hash tables, graphs, and more. Each data structure is implemented with clear explanations and well-documented code. You can explore the different implementations and choose the one that suits your programming language preference or learning goals.

Algorithms

In addition to data structures, the repository covers a variety of algorithms that are essential for problem-solving and optimizing program performance. The algorithms section includes implementations of searching, sorting, recursion, dynamic programming, graph algorithms, greedy algorithms, and others. You can delve into these algorithms to enhance your problem-solving skills and understand their efficiency characteristics.

Contributing

Contributions to this repository are highly encouraged and appreciated! If you find any bugs, want to add a new data structure or algorithm, or want to improve the existing implementations, feel free to submit a pull request. Please make sure to follow the contribution guidelines provided in the repository to maintain consistency and code quality.

Happy coding and exploring the world of data structures and algorithms!