explaingit

dopplerhq/awesome-interview-questions

82,384Audience · developerComplexity · 1/5StaleSetup · easy

TLDR

A curated index of links to interview question collections organized by programming language, framework, and technology. Study guide for job seekers preparing for technical interviews.

Mindmap

mindmap
  root((repo))
    What it does
      Curated index
      Links to resources
      Interview prep
    Content areas
      Languages
      Databases
      Algorithms
      Data structures
    Use cases
      Study before interviews
      Find focused lists
      Explore by tech
    Status
      No longer maintained
      Still browsable

Things people build with this

USE CASE 1

Study interview questions for a specific programming language or framework before a job interview.

USE CASE 2

Find curated lists of coding challenges and algorithm problems organized by topic.

USE CASE 3

Explore interview prep resources across multiple technologies in one browsable index.

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

Awesome Interview Questions is a directory of links to other people's interview-question collections, gathered in one place so candidates do not have to hunt them down individually. It is what the open-source world calls an awesome list: a curated, single-page index, not a tutorial or a quiz application. The README is plain Markdown organised by topic, where each section is a heading and the contents are bullet-pointed links pointing out to articles, repositories, and study guides around the web. The categories cover the usual range a software job hunter runs into. There is a large block for specific programming languages, frameworks, and platforms, Android, Angular, C, C++, C#, Java, JavaScript, Python, Ruby, Rails, Rust, Swift, TypeScript, Vue, Node, PHP, and many more. There are separate sections for databases (including MongoDB, MySQL, Postgres, Oracle, Cassandra, SQL in general), for caching technologies like Redis and Memcached, for operating systems, and then for cross-cutting computer-science topics such as algorithms, data structures, design patterns, networks, security, blockchain, and data science. Each link is to an external resource; the repo itself does not host the questions. Someone would use it as a starting point when preparing for a technical interview, especially if they want to compare different question sets across the same topic, or to find the standard study material for a language they are weak on. The README states up front that the project is no longer actively supported, so the link list reflects the state of the web at the time the project went dormant. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
I have a JavaScript interview coming up. What are the top interview questions I should study from this awesome-interview-questions repo?
Prompt 2
Show me the Python interview questions section from the awesome-interview-questions list and help me understand common patterns.
Prompt 3
I'm interviewing for a React role. Use the awesome-interview-questions repo to find the most important React concepts I should review.
Prompt 4
What database interview topics are covered in awesome-interview-questions and which ones should I prioritize?
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