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Avinash987/Coding

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View on GitHub↗

Coding

Features

  • Computer Science Foundations - Collection of computer science essentials and interview preparation exercises.
  • Interview Preparation - Collection of algorithmic solutions for technical interview practice.
  • Programming Reference - Collection of programming solutions and interview-focused coding exercises.

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0 stars·0 forks·10 views

Star history

Star history chart for avinash987/codingStar history chart for avinash987/coding

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.

Frequently asked questions

What are the main features of avinash987/coding?

The main features of avinash987/coding are: Computer Science Foundations, Interview Preparation, Programming Reference.

Which projects share features with avinash987/coding?

Projects with overlapping indexed features include: jwasham/coding-interview-university — This project is a comprehensive educational roadmap designed to guide software engineers through the mastery of… cyc2018/cs-notes — This repository serves as a comprehensive educational resource covering core computer science concepts, software… aershov24/full-stack-interview-questions — This project is a comprehensive technical interview question repository designed to assist software engineers in their… adam-p/markdown-here — Markdown Here is a browser extension that enables rich text composition within web-based editors that lack native… advanced-frontend/daily-interview-question — This project is an automated code assessment tool and educational platform designed for frontend interview… adrfer/sort.

Projects sharing features with Coding

These projects share indexed features with Coding. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • cyc2018/cs-notesCyC2018 avatar

    CyC2018/CS-Notes

    184,601View on GitHub↗

    This repository serves as a comprehensive educational resource covering core computer science concepts, software engineering principles, and system architecture. It provides detailed explanations of fundamental data structures and algorithms, alongside in-depth analysis of database management systems, including transaction properties, storage engines, and concurrency control mechanisms. The collection also offers extensive documentation on the Java programming language, ranging from collection internals and memory management to concurrency primitives and object-oriented design patterns. Furth

    algorithmcomputer-sciencecpp
    View on GitHub↗184,601
  • jwasham/coding-interview-universityjwasham avatar

    jwasham/coding-interview-university

    353,639View on GitHub↗

    This project is a comprehensive educational roadmap designed to guide software engineers through the mastery of computer science fundamentals and technical interview preparation. It provides a structured, dependency-aware learning path that organizes complex computing concepts into a hierarchical curriculum, enabling users to build a professional engineering foundation through iterative study and practical implementation. The curriculum distinguishes itself by integrating theoretical knowledge with professional development, offering a unified index of cross-referenced resources including book

    algorithmalgorithmscoding-interview
    View on GitHub↗353,639
  • aershov24/full-stack-interview-questionsaershov24 avatar

    aershov24/full-stack-interview-questions

    1,106View on GitHub↗

    This project is a comprehensive technical interview question repository designed to assist software engineers in their professional development. It serves as a structured study guide that aggregates curated questions and answers covering full-stack development, algorithmic challenges, and system design concepts. The resource distinguishes itself by organizing content into specialized technical domains, allowing candidates to focus their preparation on specific skill sets such as data science and machine learning. It provides a centralized library of architectural patterns and complex problem-

    angularfull-stackfull-stack-development
    View on GitHub↗1,106
  • adam-p/markdown-hereadam-p avatar

    adam-p/markdown-here

    60,218View on GitHub↗

    Markdown Here is a browser extension that enables rich text composition within web-based editors that lack native formatting support. By transforming plain text markdown syntax into rendered HTML, it allows users to draft professional emails and documents using standard markup, including headers, tables, and footnotes, directly inside their browser. The tool distinguishes itself through a bidirectional transformation engine that supports both the conversion of markdown to HTML and the reversion of rendered content back into its original source code. This state-preserving functionality allows

    JavaScript
    View on GitHub↗60,218
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