https://github.com/shriharsh-deshmukh/base-code

Welcome to the Base-code - C++ Data Structures Library repository.
https://github.com/shriharsh-deshmukh/base-code

algorithms-and-data-structures data-engineering data-science data-structures

Last synced: 18 days ago
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Welcome to the Base-code - C++ Data Structures Library repository.

• Host: GitHub
• URL: https://github.com/shriharsh-deshmukh/base-code
• Owner: Shriharsh-Deshmukh
• Created: 2023-11-16T04:32:49.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-07T07:59:25.000Z (4 months ago)
• Last Synced: 2024-11-12T08:21:08.903Z (about 2 months ago)
• Topics: algorithms-and-data-structures, data-engineering, data-science, data-structures
• Homepage:
• Size: 1.95 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Base-code

Welcome to the Base-code (C++ Data Structures Library repository), a comprehensive collection of fundamental data structure implementations in C++. These robust and efficient data structures are designed to empower developers with the tools needed to build high-performance applications.

# Included Data Structures:

1. Array and String Operations: Efficient implementations of basic array and string operations.

2. Linked Lists: Singly and doubly linked lists with a range of operations for seamless integration.

3. Stacks and Queues: LIFO and FIFO data structures to manage data with precision.

4. Trees and Graphs: Binary trees, AVL trees, and graph representations with advanced traversal algorithms.

5. Hash Tables: Hash table implementation for optimal key-value pair storage.

6. Heaps: Binary heap implementation with the heap sort algorithm for sorting elements efficiently.

7. Trie: Trie data structure for lightning-fast string searches.

8. Disjoint Set (Union-Find): Implementation for efficient disjoint set operations.

# How to Use:

Each data structure has its own directory containing well-documented C++ code and README files that provide insights into usage. Feel free to explore, learn, and incorporate these data structures into your projects.

# Contributions:

Contributions are welcome! If you find any bugs, optimizations, or want to add new data structures, please open an issue or submit a pull request.

Happy coding!😊