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  1. 28 Αυγ 2024 · Understanding data structures is very important for developing efficient and effective algorithms. In this tutorial, we will explore the most commonly used data structures, including arrays, linked lists, stacks, queues, trees, and graphs.

    • Algorithms

      Prerequisite: Searching and Sorting Algorithms Searching...

    • Arrays

      Data structure is a way of storing and organizing data...

    • Set 1

      Answer: A hash data structure is a data structure that...

    • Heap

      A Heap is a special Tree-based Data Structure in which the...

  2. A repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways, programming questions and Interview questions. The main aim of this repository is to help students who are learning Data Structures and Algorithms or preparing for an interview.

  3. competitive program's and data structures stack , queue , linklist tree , recursion , circular linklist , dynamic memory allocation etc..

  4. Whether you’re new to coding or have some experience, this repository is a great place to start your open-source journey. Our goal is to nurture your growth by providing a curated collection of DSA-related theory and solved problems that are both engaging and educational.

  5. 28 Ιουλ 2024 · I am excited to share my latest project, a comprehensive collection of data structures implemented in C++, Go, JavaScript, and Python. This repository is perfect for students, educators, and software developers looking to understand and utilize different data structures in practical applications.

  6. Abstract Data Structures are higher-level data structures that are built using primitive data types and provide more complex and specialized operations. Some common examples of abstract data structures include arrays, linked lists, stacks, queues, trees, and graphs.

  7. 31 Ιουλ 2024 · This tutorial is a beginner-friendly guide for learning data structures and algorithms using Python. In this article, we will discuss the in-built data structures such as lists, tuples, dictionaries, etc, and some user-defined data structures such as linked lists, trees, graphs, etc, and traversal as well as searching and sorting algorithms with th

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