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
prakhar1989 avatar

prakhar1989/Algorithms

0
View on GitHub↗
3,085 stars·823 forks·Python·WTFPL·30 views

Algorithms

This repository is a collection of reference implementations for fundamental data structures and computational algorithms written in Python. It serves as an educational resource for students and software engineers to study core computer science concepts through practical, modular code examples.

The project focuses on the construction of essential data structures, including trees, heaps, stacks, and tries, alongside standard algorithms for searching, sorting, and graph traversal. By utilizing language-idiomatic data modeling and standardized interface designs, the implementations provide a consistent approach to solving complex logic challenges and practicing common algorithmic patterns.

These materials are structured to support technical interview preparation and the development of a foundational understanding of software engineering principles. The repository is organized into discrete, reusable functions that isolate specific computational steps to facilitate study and comprehension.

Features

  • Computer Science Education - Serves as an educational resource for students and engineers to learn fundamental data structures and algorithms.
  • Data Structure Implementations - Constructs essential building blocks like trees and stacks from scratch to demonstrate efficient information organization.
  • Algorithmic Reference Implementations - Provides modular, standalone code blocks that demonstrate core computational logic and data structure mechanics for educational study.
  • Fundamental Data Structures - Provides implementations of fundamental data structures like heaps, trees, and stacks for computer science education.
  • Graph Problem Solving - Implements standard algorithms for searching, sorting, and graph traversal to solve complex logic challenges.
  • Technical Interview Preparation - Supports technical interview preparation by providing practice with common algorithmic patterns and data structure implementations.
  • Algorithmic Problem Solving - Applies reference implementations for common tasks like sorting and searching to solve complex logic challenges.
  • Algorithm Libraries - Acts as a library of reference implementations for fundamental data structures and computational algorithms.
  • Modular Function Design - Organizes complex computational tasks into discrete, reusable functions to facilitate study and comprehension.

Star history

Star history chart for prakhar1989/algorithmsStar history chart for prakhar1989/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

Projects sharing features with Algorithms

These projects share indexed features with Algorithms. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • raywenderlich/swift-algorithm-clubraywenderlich avatar

    raywenderlich/swift-algorithm-club

    29,101View on GitHub↗

    This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implement

    Swift
    View on GitHub↗29,101
  • theja-m/data-structures-and-algorithmstheja-m avatar

    theja-m/Data-Structures-and-Algorithms

    1,656View on GitHub↗

    This repository serves as an educational resource for computer science concepts, providing a collection of fundamental data structures and algorithmic patterns implemented in Python. It functions as a programming reference for developers seeking to understand standard software engineering patterns and data manipulation strategies. The project focuses on the construction of essential storage formats, including arrays, graphs, hash tables, linked lists, stacks, and queues. It also provides implementations for standard algorithmic techniques such as dynamic programming, recursion, sorting, and g

    Python
    View on GitHub↗1,656
  • williamfiset/deprecated-data-structureswilliamfiset avatar

    williamfiset/DEPRECATED-data-structures

    2,917View on GitHub↗

    This repository provides a collection of fundamental data structures implemented in Java, designed to serve as an educational resource for understanding core computer science concepts. It includes standard implementations of trees, graphs, queues, and heaps, intended to help developers study the internal mechanics and performance characteristics of these structures. The library emphasizes the use of generics to maintain type safety across different data types and utilizes interface-driven design to ensure consistent method signatures. By building these components from scratch, the project dem

    Javabalanced-treebinarytreedata-structures
    View on GitHub↗2,917
  • thealgorithms/javascriptTheAlgorithms avatar

    TheAlgorithms/JavaScript

    34,180View on GitHub↗

    This project is an educational code repository providing a curated collection of common algorithms and data structures implemented in JavaScript. It serves as a reference library and a study resource for learning computer science concepts and foundational programming principles. The repository focuses on the practical implementation of standard data structures and algorithmic patterns. It provides a codebase for studying computational problem-solving and practicing the technical requirements often found in software engineering interviews. The codebase covers core data structure implementatio

    JavaScriptalgorithmalgorithm-challengesalgorithms
    View on GitHub↗34,180
Compare all 30 related projects→

Frequently asked questions

What does prakhar1989/algorithms do?

This repository is a collection of reference implementations for fundamental data structures and computational algorithms written in Python. It serves as an educational resource for students and software engineers to study core computer science concepts through practical, modular code examples.

What are the main features of prakhar1989/algorithms?

The main features of prakhar1989/algorithms are: Computer Science Education, Data Structure Implementations, Algorithmic Reference Implementations, Fundamental Data Structures, Graph Problem Solving, Technical Interview Preparation, Algorithmic Problem Solving, Algorithm Libraries.

Which projects share features with prakhar1989/algorithms?

Projects with overlapping indexed features include: raywenderlich/swift-algorithm-club — This project is a computer science educational resource and a library of common data structures and algorithms… theja-m/data-structures-and-algorithms — This repository serves as an educational resource for computer science concepts, providing a collection of fundamental… williamfiset/deprecated-data-structures — This repository provides a collection of fundamental data structures implemented in Java, designed to serve as an… thealgorithms/javascript — This project is an educational code repository providing a curated collection of common algorithms and data structures… julycoding/the-art-of-programming-by-july — This project is a comprehensive educational repository providing study guides, a competitive programming curriculum,… callmepicacho/data-structres — This project is a computer science educational resource and data structures reference library. It serves as a…

Curated searches featuring Algorithms

Hand-picked collections where Algorithms appears.
  • Educational Python Algorithm Implementations
  • Graph traversal algorithms
  • a comprehensive textbook on theoretical computer science