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gatieme avatar

gatieme/CodingInterviews

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CodingInterviews

CodingInterviews is a technical interview study resource and algorithm implementation guide. It provides a collection of typical programming challenges and reference implementations focused on the data structures and algorithms used in corporate interviews.

The project serves as a coding challenge reference, offering a library of proven algorithmic solutions that act as a baseline for comparing candidate implementations. It includes a data structure implementation library and a set of interview problem sets designed for technical interview preparation.

The repository organizes its content through a curated challenge set and pattern-based curation to cover common interview requirements. It employs a modular solution structure where individual problems are isolated in separate files, mapping specific interview questions directly to their corresponding source code implementations.

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Features

  • Coding Interview Preparation - Provides collections of programming challenges and study materials designed to prepare developers for technical interviews.
  • Coding Challenge Solutions - Provides a collection of solved programming exercises and explanations as a reference for learners.
  • Data Structure Implementations - Provides educational code examples demonstrating how to implement standard data structures used in interviews.
  • Algorithm Implementations - Offers practical code implementations of algorithms and design patterns used to solve common computational problems.
  • Interview-Focused Problem Sets - Provides curated collections of algorithm problems specifically selected and organized for technical interview preparation.
  • Algorithm Implementation Practice - Provides practical exercises for implementing algorithmic solutions to prepare for technical interviews.
  • Implementation Practice - Allows users to implement curated technical problems and compare results against proven solutions.
  • Technical Interview Preparation - Provides comprehensive resources and practice materials for preparing for technical assessments and coding interviews.
  • Technical Interview Resources - Provides curated collections of questions and answers for preparing for technical assessments.
  • Reference Implementations - Provides a collection of solved coding challenges that serve as a practical reference for studying implementations.
  • Problem Pattern Mappings - Groups programming problems by technical requirements to cover common interview patterns and data structures.
  • Community Reference Libraries - Offers a library of proven algorithmic implementations used as a gold standard for validating candidate code.
  • Algorithm Implementation Guides - Bridges conceptual algorithmic logic with concrete source code implementations for corporate interview preparation.
  • Modular Exercise Structuring - Organizes technical exercises into isolated, modular units for targeted logic validation.
  • Exercise-to-Source Mappings - Links interview question identifiers directly to their corresponding source code implementation files.
4,864 stars·1,110 forks·C++·GPL-3.0·22 views

Star history

Star history chart for gatieme/codinginterviewsStar history chart for gatieme/codinginterviews

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 does gatieme/codinginterviews do?

CodingInterviews is a technical interview study resource and algorithm implementation guide. It provides a collection of typical programming challenges and reference implementations focused on the data structures and algorithms used in corporate interviews.

What are the main features of gatieme/codinginterviews?

The main features of gatieme/codinginterviews are: Coding Interview Preparation, Coding Challenge Solutions, Data Structure Implementations, Algorithm Implementations, Interview-Focused Problem Sets, Algorithm Implementation Practice, Implementation Practice, Technical Interview Preparation.

Which projects share features with gatieme/codinginterviews?

Projects with overlapping indexed features include: careercup/ctci-6th-edition — This repository is a collection of solved algorithmic problems and data structure exercises designed for technical… chefyuan/algorithm-base — algorithm-base is an educational library and study guide designed for simulating algorithms and studying data… greyireland/algorithm-pattern — This project is an algorithm template library and coding interview study guide providing reusable code patterns for… soulmachine/leetcode — This project is a LeetCode solution repository and algorithm reference library. It provides a structured collection of… neetcode-gh/leetcode — This project is a curated collection of solved algorithmic challenges and reference implementations. It serves as a… forthespada/interviewguide — InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software…

Projects sharing features with CodingInterviews

These projects share indexed features with CodingInterviews. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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    careercup/CtCI-6th-Edition

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    This repository is a collection of solved algorithmic problems and data structure exercises designed for technical interview preparation. It serves as a polyglot reference implementation, providing a set of solved exercises based on a standard textbook to help candidates master the logic and complexity analysis required for coding tests. The project implements the same algorithmic logic across multiple programming languages to demonstrate platform-independent problem solving. This polyglot approach allows for the comparison of implementations across different tech stacks to highlight recurrin

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  • chefyuan/algorithm-basechefyuan avatar

    chefyuan/algorithm-base

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    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

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  • greyireland/algorithm-patterngreyireland avatar

    greyireland/algorithm-pattern

    15,465View on GitHub↗

    This project is an algorithm template library and coding interview study guide providing reusable code patterns for common data structures and algorithms. It serves as a reference for optimized strategies and a structured learning path to build proficiency in algorithmic problem solving and competitive programming. The library focuses on standardized implementations of key algorithmic patterns, including sliding windows, backtracking, dynamic programming, and binary search. It provides specific templates for managing binary search trees, searching rotated sorted arrays, and executing divide-a

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  • soulmachine/leetcodesoulmachine avatar

    soulmachine/leetcode

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    This project is a LeetCode solution repository and algorithm reference library. It provides a structured collection of solved coding challenges that demonstrate recurring computational strategies, data structure implementations, and complexity optimizations used for technical interview preparation and competitive programming study. The repository transforms structured source code and technical explanations into professional PDF guides using a LaTeX technical documentation system. To ensure consistent typography and environment settings across different systems, the project utilizes a containe

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