awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
ua-nick avatar

ua-nick/Data-Structures-and-Algorithms

0
View on GitHub↗
2,773 stars·335 forks·Go·MIT·25 views

Data Structures And Algorithms

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.

Features

  • Algorithm and Data Structure Guides - Acts as a comprehensive library of fundamental data structures and classic algorithms for study.
  • Data Structure Implementations - Demonstrates the construction of standard data structures from scratch for educational mastery.
  • Fundamental Data Structures - Provides a library of essential data structures including linked lists, stacks, and trees.
  • Algorithm Practice Collections - Serves as a resource for practicing fundamental algorithmic logic and performance analysis.
  • Coding Interview Preparation - Provides algorithmic patterns and challenges to assist in technical interview preparation.
  • Search Algorithms - Provides educational implementations of standard searching techniques like binary and linear search.
  • Sorting Algorithms - Ships educational implementations of classic sorting algorithms for data organization study.
  • Sorting and Searching Workflows - Compares the efficiency of various search and sort techniques to analyze performance.
  • String Matching Algorithms - Implements pattern matching algorithms like Rabin-Karp for text sequence identification.

Star history

Star history chart for ua-nick/data-structures-and-algorithmsStar history chart for ua-nick/data-structures-and-algorithms

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Curated searches featuring Data Structures And Algorithms

Hand-picked collections where Data Structures And Algorithms appears.
  • Data structures algorithms
  • Data Structures and Algorithms
  • Algorithm Complexity Theory Resources

Projects sharing features with Data Structures And Algorithms

These projects share indexed features with Data Structures And Algorithms. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • codebasics/data-structures-algorithms-pythoncodebasics avatar

    codebasics/data-structures-algorithms-python

    1,414View on GitHub↗

    This project is an educational resource providing a structured curriculum for mastering fundamental computer science concepts, algorithmic logic, and data structure implementation using Python. It serves as a comprehensive tutorial for understanding how to organize information effectively and solve complex computational challenges through systematic programming techniques. The repository focuses on the practical application of core data structures, including arrays, linked lists, hash tables, stacks, queues, and trees. It emphasizes the development of algorithmic problem-solving skills by cov

    Jupyter Notebook
    View on GitHub↗1,414
  • chefyuan/algorithm-basechefyuan avatar

    chefyuan/algorithm-base

    10,702View on GitHub↗

    algorithm-base is an educational library and study guide designed for simulating algorithms and studying data structures. It functions as an execution visualizer that renders step-by-step state changes and pointer updates through animated simulations to illustrate how data movement works. The project distinguishes itself by mapping conceptual logic directly to multi-language source code implementations. It utilizes a comparative analysis framework to evaluate different algorithmic strategies based on stability, time complexity, and space complexity, while organizing problems by underlying mec

    algorithmsbaseinterview-practice
    View on GitHub↗10,702
  • jack-lee-hiter/algorithmsbypythonJack-Lee-Hiter avatar

    Jack-Lee-Hiter/AlgorithmsByPython

    4,082View on GitHub↗

    AlgorithmsByPython is a reference library and educational repository providing runnable Python implementations of computer science fundamentals. It serves as a comprehensive guide for algorithmic patterns, core data structures, and solutions for competitive programming and technical interview challenges. The project distinguishes itself by offering a wide array of reference implementations, including a dedicated set of solutions for common LeetCode problems. It focuses on translating theoretical computational logic into practical Python code for educational and practical use. The repository

    Python
    View on GitHub↗4,082
  • aspittel/coding-cheat-sheetsaspittel avatar

    aspittel/coding-cheat-sheets

    1,337View on GitHub↗

    This project is a comprehensive reference guide for computer science fundamentals, providing structured summaries of essential data structures and algorithmic principles. It serves as a technical resource for developers to review core programming concepts, memory layouts, and operational characteristics required for software development and technical assessments. The collection distinguishes itself by offering concise, implementation-focused documentation for a wide range of standard techniques. It covers the mechanics of various sorting and searching algorithms, graph and tree traversal stra

    algorithmsdatastructurespython
    View on GitHub↗1,337
Compare all 30 related projects→

Frequently asked questions

What does ua-nick/data-structures-and-algorithms do?

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.

What are the main features of ua-nick/data-structures-and-algorithms?

The main features of ua-nick/data-structures-and-algorithms are: Algorithm and Data Structure Guides, Data Structure Implementations, Fundamental Data Structures, Algorithm Practice Collections, Coding Interview Preparation, Search Algorithms, Sorting Algorithms, Sorting and Searching Workflows.

Which projects share features with ua-nick/data-structures-and-algorithms?

Projects with overlapping indexed features include: codebasics/data-structures-algorithms-python — This project is an educational resource providing a structured curriculum for mastering fundamental computer science… chefyuan/algorithm-base — algorithm-base is an educational library and study guide designed for simulating algorithms and studying data… jack-lee-hiter/algorithmsbypython — AlgorithmsByPython is a reference library and educational repository providing runnable Python implementations of… aspittel/coding-cheat-sheets — This project is a comprehensive reference guide for computer science fundamentals, providing structured summaries of… liuyubobobo/play-with-algorithms — This project is an algorithm implementation library and educational resource providing a collection of data structures… forthespada/interviewguide — InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software…