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A comprehensive collection of algorithms and data structures, with practice problems and solutions. Ideal for developers and students looking to sharpen their problem-solving skills and improve their understanding of foundational computer science concepts.

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Kushalobroy/Algorithms-DataStructures-Arena

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Algorithms & DataStructures Arena

Overview

Algorithms & DataStructures Arena is a dedicated repository for practicing and mastering algorithms and data structures. It covers a variety of fundamental and advanced topics, providing code implementations, explanations, and problem-solving exercises to enhance your understanding of computational techniques.

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This repository is ideal for:

  • Students preparing for coding interviews.
  • Developers looking to deepen their knowledge in algorithms and data structures.
  • Competitive programmers seeking to improve their problem-solving skills.

Topics Covered

  • Sorting Algorithms: Bubble Sort, Merge Sort, Quick Sort, etc.
  • Searching Algorithms: Binary Search, Linear Search, etc.
  • Data Structures: Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, HashMaps, and more.
  • Recursion & Backtracking: Solving complex problems with recursive techniques.
  • Dynamic Programming: Optimized solutions to problems by breaking them down into simpler subproblems.
  • Greedy Algorithms: Problem-solving by choosing the most optimal solution at every step.
  • Graph Algorithms: BFS, DFS, Dijkstra’s Algorithm, and more.

Project Structure

The repository is organized by topics and problem-solving challenges. Each folder contains:

  • Code Implementation: Clean, well-commented code for the algorithm or data structure.
  • Explanation: A markdown file that explains the approach, time complexity, and edge cases.
  • Test Cases: Example inputs and outputs to verify the correctness of the solution.

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A comprehensive collection of algorithms and data structures, with practice problems and solutions. Ideal for developers and students looking to sharpen their problem-solving skills and improve their understanding of foundational computer science concepts.

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