This repository contains a comprehensive set of data structures implemented in the Go programming language. The majority of these data structures are designed to be generic, making them versatile and reusable in various scenarios.
Below is a list of the data structures available in this repository along with a brief description of each:
- Stack: Last-in, first-out (LIFO) data structure, providing efficient push and pop operations. It's useful for managing elements in a sequential manner.
- Queue: First-in, first-out (FIFO) data structure, offering efficient enqueue and dequeue operations. It's ideal for scenarios where elements need to be processed in the order they arrive.
- Priority queue: Priority-based data structure that ensures elements are dequeued based on their priority. It's beneficial for tasks requiring element processing based on priority levels.
- Heap: Heap data structure, allowing quick access to the minimum or maximum element. It's valuable for tasks that involve managing elements based on their relative ordering.
- Linked list: Linear data structure consisting of nodes linked together, enabling efficient insertions and deletions. It's useful for scenarios where elements are frequently added or removed.
- Hash table: Associative data structure that enables efficient key-value pair lookups. It's well-suited for tasks requiring fast access to data based on unique keys.
- Binary search tree: Binary tree structure that maintains its elements in a sorted order, facilitating quick search and retrieval. It's advantageous for scenarios where fast data retrieval is crucial.
- Graph: Versatile data structure used to represent connections between elements, enabling various graph-related algorithms. It's essential for solving problems involving interconnected data.
- Trie: Efficient information retrieval data structure, particularly useful for dictionary-like operations. It's valuable for tasks involving efficient prefix-based searches.
- Set: Collection of unique elements, supporting set operations like union, intersection, and difference. It's beneficial for managing unique data and performing set-based calculations.
The project is available as open source under the terms of the MIT License.