careercup/ctci-6th-edition

★ 11,459JavaAudience · developerComplexity · 1/5Setup · easy

Mindmap

mindmap
  root((CTCI Solutions))
    What it is
      Interview prep code
      CTCI 6th edition
      Official Java solutions
    Languages
      Java main repo
      Python companion
      JavaScript companion
      Go and others
    Topics Covered
      Data structures
      Algorithms
      Coding puzzles
    Contributing
      Fork and open PR
      Add tests
      Propose new langs

mindmap root((CTCI Solutions)) What it is Interview prep code CTCI 6th edition Official Java solutions Languages Java main repo Python companion JavaScript companion Go and others Topics Covered Data structures Algorithms Coding puzzles Contributing Fork and open PR Add tests Propose new langs

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Things people build with this

USE CASE 1

Study the official Java solutions to CTCI problems to understand how to approach common interview algorithm questions.

USE CASE 2

Compare your own solution to a specific CTCI problem against the reference implementation to spot gaps in your approach.

USE CASE 3

Practice interview problems in your preferred language by cloning the matching companion language repository.

Tech stack

JavaPythonJavaScriptGoC++C#

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository contains working code solutions for the book "Cracking the Coding Interview, 6th Edition" by Gayle Laakmann McDowell. The book is widely used by people preparing for software engineering job interviews at tech companies, and it covers common programming puzzles involving data structures and algorithms. The main repository holds Java solutions, which are the same solutions that appear in the printed book. Solutions in other programming languages, contributed by the community, live in separate companion repositories (one per language) that are linked here. Supported languages include Python, JavaScript, C, C++, C#, Go, Kotlin, Swift, Ruby, PHP, Haskell, and several others. If you want to download everything, cloning with a specific option pulls in all the language repos at once. If you only need the Java solutions, a plain clone is enough. Contributions are welcome. The workflow is straightforward: fork the appropriate language repo, write your solution, add tests if they apply, and open a pull request with a description of what you did. Java submissions go to this main repo, all other languages go to their dedicated language repo. If you want to add a language that does not yet have a repo, the README explains the steps to propose it and get it adopted under the careercup organization. The README is sparse beyond setup and contribution instructions, the content is the code itself, organized by the chapters and problems in the book.

Copy-paste prompts

Prompt 1

I'm preparing for a software engineering interview and working through CTCI Chapter 4 on trees and graphs. Show me the Java solution for the route between nodes problem and explain the time and space complexity.

Prompt 2

I want to contribute a Python solution for a CTCI problem to the careercup Python companion repo. Walk me through the expected code structure, how to add tests, and how to submit a pull request.

Prompt 3

I'm stuck on the dynamic programming chapter in CTCI. Find a solution from this repository and explain the recursive breakdown and memoization approach used in plain terms.

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