Welcome to the Learn Data Structures!
This project contains implementations of essential data structures with explanations, code samples, and usage examples. Perfect for interview prep, education, or brushing up on your programming fundamentals.
Data Structures are the building blocks of efficient software. Whether you're designing a high-performance application, preparing for coding interviews, or simply sharpening your problem-solving skills, mastering data structures is essential.
Understanding how and when to use each structure can greatly improve:
- The efficiency of your code
- The scalability of your applications
- Your confidence in handling complex problems
- Your readiness for technical interviews
Learning data structures isn’t just about memorizing how they work, it’s about understanding their trade-offs, real-world applications, and performance impacts.
“Programming isn't about what you know; it's about what you can figure out.”
Keep coding, stay curious, and remember:
The more deeply you understand the foundations, the more powerful your creations will be.
Just drop the GitHub repo URL here Click here
About the Repo
This repository contains clean, commented, and beginner-friendly implementations of popular data structures. Each structure includes:
- Definition
- Real-world applications
- Time & Space complexities
- Simple code implementation
- Example usage
Languages Used
Currently implemented in:
- JavaScript (ES6+)
Future support for Python, Java, or C++ is possible.
Data Structures Covered
Linear Data Structures:
- Array
- Linked List (Singly/Doubly/Circular)
- Stack
- Queue (Simple/Priority/Circular)
Non-Linear Data Structures:
- Tree (Binary Tree, Binary Search Tree, AVL Tree, etc.)
- Graph (Directed/Undirected, Matrix/List)
Hash-based:
- Hash Table / Hash Map
Advanced:
- Heap
- Tries
- Disjoint Set (Union-Find)
Each structure is stored in its own folder with explanations and code.
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