https://github.com/dev-mayanktiwari/data-structure-playground
"Explore essential data structures through code and clear explanations. Start mastering arrays, linked lists, trees, graphs, and algorithms today. 🚀"
https://github.com/dev-mayanktiwari/data-structure-playground
Last synced: 10 months ago
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"Explore essential data structures through code and clear explanations. Start mastering arrays, linked lists, trees, graphs, and algorithms today. 🚀"
- Host: GitHub
- URL: https://github.com/dev-mayanktiwari/data-structure-playground
- Owner: dev-mayanktiwari
- Created: 2023-10-08T13:56:45.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-27T06:58:26.000Z (almost 2 years ago)
- Last Synced: 2025-01-22T08:14:57.245Z (12 months ago)
- Language: C
- Size: 13.7 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Data Structures Playground
Description:
Welcome to the Data Structures Playground! 🌟
This repository is a treasure trove of code and resources for understanding and implementing fundamental data structures in computer science. Whether you're a beginner looking to grasp the basics or an experienced programmer looking for a quick reference, this collection has something for everyone.
What You'll Find Here:
🌿 Arrays: Efficient algorithms and examples for manipulating arrays, one of the most essential data structures.
🔗 Linked Lists: Learn about singly linked lists, doubly linked lists, and their various applications.
🌲 Trees: Explore binary trees, AVL trees, and more, with detailed explanations and code samples.
🌐 Graphs: Dive into the world of graphs, with algorithms for traversal, shortest path, and more.
⚙️ Algorithms: Discover common algorithms that work hand-in-hand with data structures.
📘 Documentation: Clear and concise explanations, along with usage examples, to help you understand and implement these data structures in your projects.
Why This Repository?:
Learn: Use this repository as a learning resource to grasp the core concepts of data structures.
Code: Find working code samples to kickstart your projects.
Contribute: Share your own implementations, improvements, or bug fixes with the community.
Explore: Dive into the source code to understand how these data structures work under the hood.
Feel free to explore, contribute, and make this repository your go-to reference for data structures. Happy coding! 🚀