A curated collection of technical interview question lists covering programming languages, frameworks, databases, and CS fundamentals.
Awesome Interviews is a curated GitHub repository that aggregates lists of technical interview questions and resources across programming languages, frameworks, databases, and computer science topics. It helps developers prepare for job interviews by providing a centralized, community-maintained collection of study materials, eliminating the need to scour multiple sources.
Software developers, engineers, and computer science students preparing for technical job interviews at tech companies, especially those seeking roles requiring coding assessments or system design discussions.
It saves time by consolidating thousands of interview questions into one well-organized repository, covers a vast range of technologies and concepts, and is continuously updated by the open-source community, ensuring relevance and breadth.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
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The README categorizes questions across over 50 technologies including JavaScript, Python, Docker, and algorithms, making it a one-stop shop for broad interview prep.
It was open for contributions with guidelines, leveraging crowd-sourced knowledge to compile a vast resource base, as noted in the contribution links.
Questions are neatly divided into sections like programming languages, databases, and OS, based on the detailed table of contents, facilitating targeted study.
The README explicitly states 'This project is no longer actively supported,' leading to outdated links and missing recent interview trends, which reduces reliability.
It primarily aggregates external links without providing solutions or explanations, forcing users to hunt for answers on third-party sites, increasing prep time.
As a curated list with no active vetting, the quality and relevance of linked resources can vary significantly, with potential for broken links or obsolete content.