tech-interview-handbook README

The project's README from github.com/yangshun/tech-interview-handbook. As one markdown file: README.md.

Tech Interview Handbook

Tech Interview Handbook

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What is this?

Not everyone has the time to do a few hundred LeetCode questions. Here are free and curated technical interview preparation materials for busy engineers, brought to you by me, the author of Blind 75. Over 1,000,000 people have benefitted from this handbook!

Besides the usual algorithm questions, other awesome stuff includes:

Help from you in contributing content would be very much appreciated!

Why would you read this?

This repository has practical content that covers all phases of a technical interview, from applying for a job to passing the interviews to offer negotiation. Technically competent candidates might still find the non-technical content helpful.

The information in this repository is condensed. Ultimately, the key to succeeding in technical interviews is consistent practice and I don't want to bore you with too many words. I tell you the minimum you need to know on how to go about navigating the interview process, you go and practice and land your dream job.

Who is this for?

Anybody who wants to land a job at a tech company but is new to technical interviews, seasoned engineers who have not been on the other side of the interviewing table in a while and want to get back into the game, or anyone who wants to be better at technical interviewing.


💡 Stop grinding mindlessly! Study coding question patterns efficiently with Grokking the Coding Interview by Design Gurus 💡


How is this repository different?

There are many awesome books like "Cracking the Coding Interview" and interview-related repositories out there on GitHub, what makes this repository different? The difference is that many existing interview repositories contain mainly links to external resources whereas this repository contains top-quality curated content directly for your consumption.

Also, existing resources focus mainly on algorithm questions and lack coverage for more domain-specific and non-technical questions. This handbook aims to cover content beyond the typical algorithmic coding questions. 😎

Looking for interview courses?

AlgoMonster

AlgoMonster aims to help you ace the technical interview in the shortest time possible. By Google engineers, AlgoMonster uses a data-driven approach to teach you the most useful key question patterns and has contents to help you quickly revise basic data structures and algorithms. Best of all, AlgoMonster is not subscription-based - pay a one-time fee and get lifetime access. Join today for a 70% discount →

Grokking the Coding Interview: Patterns for Coding Questions

This course by Design Gurus expands upon the questions on the recommended practice questions but approaches the practicing from a questions pattern perspective, which is an approach I also agree with for learning and have personally used to get better at coding interviews. The course allows you to practice selected questions in Java, Python, C++, JavaScript and also provides sample solutions in those languages. Learn and understand patterns, not memorize answers! Get lifetime access today →

Looking for Front End content?

Front-end-related content has been moved to a separate website - Front End Interview Handbook.

Looking for System Design content?

We're still working on System Design content. In the meanwhile, check out ByteByteGo's System Design Interview course or Design Gurus' Grokking the System Design Interview course, which in our opinion are among the most useful resources for getting started on system design interviews preparation.

Contents

A Docusaurus website has been created to provide a better reading experience. Check out the website here!


💡 Stop the grind and study with a plan! Developed by Google engineers, AlgoMonster is the fastest way to get a software engineering job. Join today for a 70% discount! 💡


If you are interested in how data structures are implemented, check out Lago, a Data Structures and Algorithms library for JavaScript. It is pretty much still WIP but I intend to make it into a library that can be used in production and also a reference resource for revising Data Structures and Algorithms.

Contributing

There are no formal contributing guidelines at the moment as things are still in flux and we might find a better approach to structure content as we go along. You are welcome to contribute whatever you think will be helpful to fellow engineers. If you would like to contribute content for different domains, feel free to create an issue or submit a pull request and we can discuss further.

Contributors

This project exists thanks to all the people who contributed. [Contribute].

Backers

Thank you to all our backers! 🙏 [Become a backer]

Buy Me A Coffee

Sponsors

Support this project by becoming a sponsor. Your logo/profile picture will show up here with a link to your website. [Become a sponsor]

Disclaimer

I am providing code in the repository to you under an open source license. Because this is my personal repository, the license you receive to my code is from me and not my employer (Meta).

tech-interview-handbook (yangshun/tech-interview-handbook)

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这是什么?一套免费、精心整理的技术面试准备资料,由 Blind 75 的作者编写,面向软件工程师,涵盖算法、行为面试题、简历等内容。
这只是其他面试资源的链接列表吗?不是。许多面试仓库主要只是指向外部网站,而这个仓库包含原创、可直接阅读的内容:速查表、指南和精选题单。
我应该从哪里开始?先从 Grind 75 开始,它是 Blind 75 题单的升级版;然后浏览配套的 Docusaurus 网站,获取编码面试最佳实践、算法速查表和简历指南。
使用它需要注册或付费吗?不需要。手册本身可以在 GitHub 或其 Docusaurus 网站上免费阅读;只有文中提到的第三方课程(AlgoMonster、Grokking the Coding Interview)是付费的额外内容。
系统设计部分现在已经完成了吗?还没有,作者仍在编写中。在此之前,README 中推荐了付费的外部课程,如 ByteByteGo 和 Design Gurus,用于系统设计备考。
这本手册适合谁?任何想求职科技岗位的人:初次接触技术面试的人、已有经验但有一段时间没参加面试的资深工程师,或任何想提升面试能力的人。
许可证有什么特别之处吗?采用 MIT 许可证,但作者说明,由于这是他的个人仓库,该许可证是他个人授予的,而不是他的雇主(Meta)授予的。
什么是 Grind 75?Grind 75 是流行的 Blind 75 题单的下一代版本,是一套规模更大、经过改进的精选编程练习题。
在哪里可以找到前端面试准备内容?前端相关内容已移至一个单独的网站,名为 Front End Interview Handbook。
这份手册是否涵盖简历和非技术类内容?涵盖。除算法练习外,它还包括一份分步的简历指南(用于打造达到 FAANG 水准的简历),以及顶级科技公司会问的行为面试题。
是否有一个用于练习数据结构实现的相关项目?作者推荐 Lago 作为配套资源,它是一个仍在开发中的 JavaScript 数据结构与算法库。
Creator
yangshun
Size
32.9 MB
Stars
143.1K
Updated
CommitAug 07
Age
10y
Commits · 90 Days