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# Google Interview University - 一套完整的学习手册帮助自己准备 Google 的面试
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> * 原文地址：[Google Interview University](https://github.com/jwasham/google-interview-university)
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* 原文作者：[John Washam](https://github.com/jwasham)
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@ -49,35 +48,35 @@
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- [字典树（Tries）](#字典树tries)
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- [平衡查找树（Balanced search trees）](#平衡查找树balanced-search-trees)
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- [N 叉树（K 叉树、M 叉树）](#n-叉树k-叉树m-叉树)
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- [Sorting](#sorting)
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- [Graphs](#graphs)
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- [Even More Knowledge](#even-more-knowledge)
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- [Recursion](#recursion)
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- [动态规划](#dynamic-programming)
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- [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability)
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- [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms)
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- [Caches](#caches)
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- [Processes and Threads](#processes-and-threads)
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- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling)
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- [Papers](#papers)
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- [Testing](#testing)
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- [Scheduling](#scheduling)
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- [Implement system routines](#implement-system-routines)
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- [String searching & manipulations](#string-searching--manipulations)
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- [Final Review](#final-review)
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- [Books](#books)
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- [Coding exercises/challenges](#coding-exerciseschallenges)
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- [Once you're closer to the interview](#once-youre-closer-to-the-interview)
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- [Your Resume](#your-resume)
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- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes)
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- [Have questions for the interviewer](#have-questions-for-the-interviewer)
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- [Once You've Got The Job](#once-youve-got-the-job)
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- [排序](#排序sorting)
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- [图（Graphs）](#图graphs)
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- [更多知识](#更多知识)
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- [递归](#递归recursion)
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- [动态规划](#动态规划dynamic-programming)
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- [组合 & 概率](#组合combinatorics-n-中选-k-个--概率probability)
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- [NP, NP-完全和近似算法](#np-np-完全和近似算法)
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- [缓存](#缓存cache)
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- [进程和线程](#进程processe和线程thread)
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- [系统设计、可伸缩性、数据处理](#系统设计可伸缩性数据处理)
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- [论文](#论文)
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- [测试](#测试)
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- [调度](#调度)
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- [实现系统例程](#实现系统例程)
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- [字符串搜索和操作](#字符串搜索和操作)
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- [终面](#终面)
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- [书籍](#书籍)
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- [编码练习和挑战](#编码练习和挑战)
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- [当你临近面试时](#当你临近面试时)
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- [你的简历](#你的简历)
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- [当面试来临的时候](#当面试来临的时候)
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- [问面试官的问题](#问面试官的问题)
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- [当你获得了梦想的职位](#当你获得了梦想的职位)
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---------------- Everything below this point is optional ----------------
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---------------- 下面的内容是可选的 ----------------
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- [Additional Learning](#additional-learning)
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- [附加的学习](#附加的学习)
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- [Unicode](#unicode)
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- [Endianness](#endianness)
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- [字节顺序](#字节顺序)
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- [Emacs and vi(m)](#emacs-and-vim)
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- [Unix 命令行工具](#unix-命令行工具)
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- [信息资源 (视频)](#信息资源-视频)
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@ -98,14 +97,14 @@
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- [跳表](#跳表)
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- [网络流](#网络流)
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- [不相交集 & 联合查找](#不相交集--联合查找)
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- [Math for Fast Processing](#math-for-fast-processing)
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- [Treap](#treap)
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- [Linear Programming](#linear-programming)
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- [Geometry, Convex hull](#geometry-convex-hull)
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- [Discrete math](#discrete-math)
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- [Machine Learning](#machine-learning)
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- [Go](#go)
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- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects)
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- [快速处理数学](#math-for-fast-processing)
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- [树堆 (Treap)](#树堆-treap)
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- [线性规划](#线性规划linear-programming视频)
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- [几何：凸包（Geometry, Convex hull）](#几何凸包geometry-convex-hull视频)
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- [离散数学](#离散数学)
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- [机器学习](#机器学习machine-learning)
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- [Go 语言](#go-语言)
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- [一些主题的额外内容](#一些主题的额外内容)
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- [视频系列](#视频系列)
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- [计算机科学课程](#计算机科学课程)
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@ -1277,48 +1276,47 @@
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*****************************************************************************************************
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*****************************************************************************************************
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Everything below this point is optional. These are my recommendations, not Google's.
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By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for
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any software engineering job.
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下面的内容都是可选的。这些是我的推荐，不是 Google 的。
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通过学习这些内容，你将会得到更多的有关 CS 的概念，并将为所有的软件工程工作做更好的准备。
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*****************************************************************************************************
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*****************************************************************************************************
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---
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## Additional Learning
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## 附加的学习
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- ### Unicode
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- [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html)
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- [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/)
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- [ ] [每一个软件开发者的绝对最低限度，必须要知道的关于 Unicode 和字符集知识]( http://www.joelonsoftware.com/articles/Unicode.html)
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- [ ] [关于处理文本需要的编码和字符集, 每个程序员绝对需要知道的知识](http://kunststube.net/encoding/)
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- ### Endianness
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- [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html)
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- [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo)
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- [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0)
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- Very technical talk for kernel devs. Don't worry if most is over your head.
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- The first half is enough.
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- ### 字节顺序
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- [ ] [大、小端字节序](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html)
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- [ ] [大端字节 Vs 小端字节(视频)](https://www.youtube.com/watch?v=JrNF0KRAlyo)
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- [ ] [大、小端字节序的里里外外(Big And Little Endian Inside/Out) (视频)](https://www.youtube.com/watch?v=oBSuXP-1Tc0)
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- 内核开发者的讨论非常技术性，如果大多数都超出了你的理解范围，不要太担心。
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- 前半段已经足够了。
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- ### Emacs and vi(m)
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- suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor
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- Yegge 的建议，从一个很早以前的亚马逊招聘信息中而来：熟悉基于 unix 的代码编辑器
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- vi(m):
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- [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr)
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- [VIM Adventures](http://vim-adventures.com/)
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- set of 4 videos:
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- [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk)
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- [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE)
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- [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI)
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- [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA)
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- [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs)
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- [使用 vim 进行编辑 01 - 安装, 设置和模式 (视频)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr)
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- [VIM 的冒险之旅](http://vim-adventures.com/)
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- 4 个视频集:
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- [vi/vim 编辑器 - 课程 1](https://www.youtube.com/watch?v=SI8TeVMX8pk)
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- [vi/vim 编辑器 - 课程 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE)
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- [vi/vim 编辑器 - 课程 4](https://www.youtube.com/watch?v=1lYD5gwgZIA)
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- [vi/vim 编辑器 - 课程 3](https://www.youtube.com/watch?v=ZYEccA_nMaI)
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- [使用 Vi 而不是 Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs)
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- emacs:
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- [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0)
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- set of 3 (videos):
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- [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q)
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- [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II)
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- [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc)
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- [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc)
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- [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs)
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- [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk)
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- [基础 Emacs 教程 (视频)](https://www.youtube.com/watch?v=hbmV1bnQ-i0)
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- 3 个视频集:
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- [Emacs 教程 (初学者) -第 1 部分- 文件命令, 剪切/复制/粘贴, 自定义命令](https://www.youtube.com/watch?v=ujODL7MD04Q)
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- [Emacs 教程 (初学者 -第 2 部分- Buffer 管理, 搜索, M-x grep 和 rgrep 模式](https://www.youtube.com/watch?v=XWpsRupJ4II)
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- [Emacs 教程 (初学者 -第 3 部分- 表达式, 声明, ~/.emacs 文件和包机制](https://www.youtube.com/watch?v=paSgzPso-yc)
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- [Evil 模式: 或许, 我是怎样对 Emacs 路人转粉的 (视频)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc)
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- [使用 Emacs 开发 C 程序](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs)
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- [(或许) 深度组织模式:管理结构 (视频)](https://www.youtube.com/watch?v=nsGYet02bEk)
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- ### Unix 命令行工具
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- 下列内容中的优秀工具由的 Yegge 推荐，Yegge 目前致力于 Amazon 人事招聘处。
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@ -1503,15 +1501,15 @@
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- [ ] [路径压缩](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression)
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- [ ] [分析选项](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional)
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- ### Math for Fast Processing
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- [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
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- [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg)
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- ### 快速处理数学
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- [ ] [整数运算, Karatsuba 乘法 (视频)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
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- [ ] [中国剩余定理 (在密码学中的使用) (视频)](https://www.youtube.com/watch?v=ru7mWZJlRQg)
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- ### Treap
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- Combination of a binary search tree and a heap
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- [ ] [Treap](https://en.wikipedia.org/wiki/Treap)
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- [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8)
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- [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf)
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- ### 树堆 (Treap)
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- 一个二叉搜索树和一个堆的组合
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- [ ] [树堆](https://en.wikipedia.org/wiki/Treap)
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||||
- [ ] [数据结构：树堆的讲解(video)](https://www.youtube.com/watch?v=6podLUYinH8)
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- [ ] [集合操作的应用(Applications in set operations)](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf)
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- ### 线性规划（Linear Programming）（视频）
|
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- [ ] [线性规划](https://www.youtube.com/watch?v=M4K6HYLHREQ)
|
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|
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61
README.md
61
README.md
@ -1,5 +1,7 @@
|
||||
# Google Interview University
|
||||
|
||||
[中文版本](https://github.com/xitu/google-interview-university/blob/master/README-cn.md)
|
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|
||||
## What is it?
|
||||
|
||||
This is my multi-month study plan for going from web developer (self-taught, no CS degree) to Google software engineer.
|
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@ -63,6 +65,7 @@ sometimes word-for-word in Google's coaching notes.
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||||
- [Implement system routines](#implement-system-routines)
|
||||
- [String searching & manipulations](#string-searching--manipulations)
|
||||
- [Final Review](#final-review)
|
||||
- [Coding Question Practice](#coding-question-practice)
|
||||
- [Books](#books)
|
||||
- [Coding exercises/challenges](#coding-exerciseschallenges)
|
||||
- [Once you're closer to the interview](#once-youre-closer-to-the-interview)
|
||||
@ -318,7 +321,7 @@ You can see my code here:
|
||||
|
||||
You don't need to memorize the guts of every algorithm.
|
||||
|
||||
Write code on a whiteboard, not a computer. Test with some sample inputs. Then test it out on a computer.
|
||||
Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer.
|
||||
|
||||
## Prerequisite Knowledge
|
||||
|
||||
@ -1182,6 +1185,16 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
|
||||
- [ ] Merge Sort: https://www.youtube.com/watch?v=GCae1WNvnZM
|
||||
|
||||
|
||||
## Coding Question Practice
|
||||
|
||||
- [ ] [Great intro (copied from System Design section): Algorithm design:](http://www.hiredintech.com/algorithm-design/)
|
||||
- [ ] [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/)
|
||||
- [ ] [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/)
|
||||
|
||||
- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php)
|
||||
|
||||
- [Exercises for getting better at a given language](http://exercism.io/languages)
|
||||
|
||||
## Books
|
||||
|
||||
### Mentioned in Google Coaching
|
||||
@ -1218,6 +1231,10 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
|
||||
|
||||
- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info)
|
||||
|
||||
|
||||
These two were very recommended.
|
||||
|
||||
|
||||
- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880)
|
||||
|
||||
- [ ] [Algorithms and Programming: Problems and Solutions](http://www.amazon.com/Algorithms-Programming-Solutions-Alexander-Shen/dp/0817638474)
|
||||
@ -1236,19 +1253,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
|
||||
Once you've learned your brains out, put those brains to work.
|
||||
Take coding challenges every day, as many as you can.
|
||||
|
||||
Programming Question Prep:
|
||||
|
||||
- [ ] [Great intro (copied from System Design section): Algorithm design:](http://www.hiredintech.com/algorithm-design/)
|
||||
- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/)
|
||||
- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/)
|
||||
- [ ] [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/)
|
||||
- [ ] [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/)
|
||||
|
||||
- [MIT Interview Materials](https://courses.csail.mit.edu/iap/interview/materials.php)
|
||||
|
||||
- [Exercises for getting better at a given language](http://exercism.io/languages)
|
||||
|
||||
Programming:
|
||||
|
||||
- [LeetCode](https://leetcode.com/)
|
||||
- [TopCoder](https://www.topcoder.com/)
|
||||
@ -1582,16 +1588,20 @@ You're never really done.
|
||||
- [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html)
|
||||
- [ ] [Practical Guide to implementing Neural Networks in Python](using Theano)])http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/)
|
||||
- Courses:
|
||||
- [ ] [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning)
|
||||
- [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning)
|
||||
- [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW)
|
||||
- see videos 12-18 for a review of linear algebra (14 and 15 are duplicates)
|
||||
- [ ] [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks)
|
||||
- [ ] [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730)
|
||||
- [ ] [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009)
|
||||
- [ ] [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive)
|
||||
- [ ] [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science)
|
||||
- [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks)
|
||||
- [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730)
|
||||
- [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009)
|
||||
- [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive)
|
||||
- [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science)
|
||||
- Resources:
|
||||
- Great book: Data Science from Scratch: First Principles with Python: https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X
|
||||
- Books:
|
||||
- [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/)
|
||||
- [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X)
|
||||
- [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/)
|
||||
- [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers)
|
||||
- Data School: http://www.dataschool.io/
|
||||
|
||||
- ### Go
|
||||
@ -1651,7 +1661,7 @@ Sit back and enjoy. "netflix and skill" :P
|
||||
|
||||
- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy)
|
||||
|
||||
- [ ] [Discrete Mathematics (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG)
|
||||
- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG)
|
||||
|
||||
- [ ] CSE373 - Analysis of Algorithms (25 videos)
|
||||
- [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1)
|
||||
@ -1686,13 +1696,14 @@ Sit back and enjoy. "netflix and skill" :P
|
||||
|
||||
- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c)
|
||||
|
||||
- [ ] [HARVARD COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf)
|
||||
|
||||
- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
|
||||
|
||||
- [ ] Stanford: Programming Paradigms (17 videos)
|
||||
- [Course on C and C++](https://www.youtube.com/watch?v=jTSvthW34GU&list=PLC0B8B318B7394B6F&nohtml5=False)
|
||||
|
||||
- [ ] [Introduction to Cryptography](https://www.youtube.com/watch?v=2aHkqB2-46k&feature=youtu.be)
|
||||
- [more in series (not in order)](https://www.youtube.com/channel/UC1usFRN4LCMcfIV7UjHNuQg)
|
||||
- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02)
|
||||
|
||||
- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy)
|
||||
- [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/)
|
||||
|
||||
- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV)
|
||||
|
||||
|
||||
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Reference in New Issue
Block a user