DataForge

DataForge is a comprehensive repository dedicated to implementing well-known data structures from scratch using Java. This project aims to serve as both an educational resource and a reusable library, helping developers and students understand the core concepts and applications of data structures.

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✨ Features

• Handcrafted Implementations: Every data structure is built from scratch, with clear and well-documented code.
• Modular Design: Each data structure is organized into separate modules for easy exploration and scalability.
• Wide Range of Data Structures:
  • Linear Structures: Arrays, Linked Lists, Stacks, Queues
  • Non-Linear Structures: Trees, graphs, Heaps
  • Hashing: HashMaps, HashSets
  • Specialized Structures: Tries, Disjoint Sets (Union-Find), Priority Queues
• Algorithms: Includes common algorithms associated with each data structure (e.g., traversals, searches, shortest paths, sorting).

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🎯 Goals

1. Educational Resource: Provide developers with a clear and concise guide to understanding how data structures work at their core.
2. Reusable Library: Offer a modular library that can be used in real-world applications or personal projects.
3. Progressive Coverage: Start with fundamental structures and gradually include advanced, specialized structures.

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📂 Repository Structure

The repository is organized into modules, each focusing on a specific data structure or category. Here's a sample structure:

Top-Level Structure

• datastructures/ - Contains implementations of various data structures.
• algorithms/ - Includes standalone algorithms (e.g., sorting, searching, graph algorithms, etc.).
• utils/ - Utility classes for helper functions, benchmarking, and other reusable code.
• tests/ - JUnit test cases for validating data structures and algorithms.
• README.md - Documentation for the repository.
• LICENSE - Licensing information.
• CONTRIBUTING.md - Guidelines for contributors.

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Detailed Structure

DataForge

• datastructures/

  • arrays/
    • DynamicArray.java
    • StaticArray.java
  • linkedlists/
    • SinglyLinkedList.java
    • DoublyLinkedList.java
    • CircularLinkedList.java
  • stacks/
    • StackArray.java
    • StackLinkedList.java
  • queues/
    • QueueArray.java
    • QueueLinkedList.java
    • CircularQueue.java
  • trees/
    • BinaryTree.java
    • BinarySearchTree.java
    • AVLTree.java
    • RedBlackTree.java
    • Heap.java
  • graphs/
    • GraphAdjacencyList.java
    • GraphAdjacencyMatrix.java
    • DirectedGraph.java
    • UndirectedGraph.java
  • hashing/
    • HashMap.java
    • HashSet.java
  • tries/
    • Trie.java
  • disjointsets/
    • UnionFind.java
  • priorityqueues/
    • PriorityQueue.java
  • specialized/
    • FenwickTree.java
    • SegmentTree.java
    • SuffixArray.java
    • LRUCache.java

• algorithms/

  • sorting/
    • MergeSort.java
    • QuickSort.java
    • BubbleSort.java
    • HeapSort.java
    • InsertionSort.java
  • searching/
    • BinarySearch.java
    • LinearSearch.java
  • graph/
    • BFS.java
    • DFS.java
    • Dijkstra.java
    • Kruskal.java
    • Prim.java
    • BellmanFord.java
  • dynamicprogramming/
    • Knapsack.java
    • LongestCommonSubsequence.java
    • LongestIncreasingSubsequence.java
    • Fibonacci.java
    • MatrixChainMultiplication.java
  • divideandconquer/
    • MergeSort.java
    • QuickSort.java
  • backtracking/
    • NQueens.java
    • RatInMaze.java
    • SudokuSolver.java
  • greedy/
    • ActivitySelection.java
    • HuffmanEncoding.java
    • FractionalKnapsack.java

• utils/

  • HelperFunctions.java
  • InputGenerator.java
  • PerformanceTests.java

• tests/

  • datastructures/
    • ArrayTests.java
    • LinkedListTests.java
    • TreeTests.java
    • GraphTests.java
    • HashingTests.java
    • TrieTests.java
  • algorithms/
    • SortingTests.java
    • GraphAlgorithmTests.java
    • DynamicProgrammingTests.java
    • BacktrackingTests.java

• README.md

• LICENSE

• CONTRIBUTING.md

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🚀 Future Roadmap

• Add performance benchmarks for all implemented data structures.
• Integrate real-world examples showcasing the practical applications of each structure.
• Write comprehensive JUnit test cases for every implementation.
• Expand the library to include advanced data structures (e.g., Segment Trees, Fenwick Trees).
• Enhance documentation with detailed explanations, diagrams, and use cases.

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🛠️ Tech Stack

• Language: Java
• Build Tool: Gradle/Maven (to be decided)
• Testing Framework: JUnit

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👥 Contributions

Contributions are welcome! Whether you want to:

• Fix bugs
• Optimize code
• Suggest new features
• Implement additional data structures

Feel free to open issues or submit a pull request. Please ensure your contributions are well-documented and include test cases wherever applicable.

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📜 License

This project is open-source and available under the MIT License.

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🙌 Acknowledgements

• Inspired by the need for an easy-to-understand, handcrafted implementation of data structures.
• Special thanks to the open-source community for their constant support.

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Let’s build DataForge into a powerful and educational library for all things data structures!