# ua-nick/data-structures-and-algorithms

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2,773 stars · 335 forks · Go · MIT

## Links

- GitHub: https://github.com/ua-nick/Data-Structures-and-Algorithms
- awesome-repositories: https://awesome-repositories.com/repository/ua-nick-data-structures-and-algorithms.md

## Topics

`algorithm` `algorithms` `algorithms-and-data-structures` `algorithms-datastructures` `data-structures` `datastructures` `go` `golang`

## Description

This repository is a collection of fundamental data structures and classic algorithms implemented in Go, designed for educational study and technical skill development. It provides a comprehensive library of standard storage primitives and computational procedures intended to demonstrate efficient data organization and logic.

The project distinguishes itself through a focus on core design principles, utilizing language-level type parameters and interface-based polymorphism to maintain type safety and modularity. Implementations rely on iterative logic and direct memory management via pointers, prioritizing structural efficiency and clear, maintainable code organization.

The library covers a broad range of essential computer science topics, including various searching, sorting, and string pattern matching techniques. These implementations serve as a resource for analyzing performance, practicing algorithmic patterns, and preparing for technical assessments.

## Tags

### Education & Learning Resources

- [Algorithm and Data Structure Guides](https://awesome-repositories.com/f/education-learning-resources/algorithm-and-data-structure-guides.md) — Acts as a comprehensive library of fundamental data structures and classic algorithms for study.
- [Data Structure Implementations](https://awesome-repositories.com/f/education-learning-resources/data-structure-implementations.md) — Demonstrates the construction of standard data structures from scratch for educational mastery.
- [Fundamental Data Structures](https://awesome-repositories.com/f/education-learning-resources/fundamental-data-structures.md) — Provides a library of essential data structures including linked lists, stacks, and trees. ([source](https://github.com/ua-nick/data-structures-and-algorithms#readme))
- [Algorithm Practice Collections](https://awesome-repositories.com/f/education-learning-resources/algorithm-practice-collections.md) — Serves as a resource for practicing fundamental algorithmic logic and performance analysis.
- [Coding Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/coding-interview-preparation.md) — Provides algorithmic patterns and challenges to assist in technical interview preparation.
- [Search Algorithms](https://awesome-repositories.com/f/education-learning-resources/search-algorithms.md) — Provides educational implementations of standard searching techniques like binary and linear search. ([source](https://github.com/ua-nick/data-structures-and-algorithms#readme))
- [Sorting Algorithms](https://awesome-repositories.com/f/education-learning-resources/sorting-algorithms.md) — Ships educational implementations of classic sorting algorithms for data organization study. ([source](https://github.com/ua-nick/data-structures-and-algorithms#readme))
- [Sorting and Searching Workflows](https://awesome-repositories.com/f/education-learning-resources/sorting-and-searching-workflows.md) — Compares the efficiency of various search and sort techniques to analyze performance.

### Software Engineering & Architecture

- [String Matching Algorithms](https://awesome-repositories.com/f/software-engineering-architecture/string-matching-algorithms.md) — Implements pattern matching algorithms like Rabin-Karp for text sequence identification. ([source](https://github.com/ua-nick/data-structures-and-algorithms#readme))