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开源软件名称(OpenSource Name):firstcomdigital/Google-Interview-University开源软件地址(OpenSource Url):https://github.com/firstcomdigital/Google-Interview-University开源编程语言(OpenSource Language):开源软件介绍(OpenSource Introduction):Google Interview UniversityTranslations:
What is it?This is my multi-month study plan for going from web developer (self-taught, no CS degree) to Google software engineer. This long list has been extracted and expanded from Google's coaching notes, so these are the things you need to know. There are extra items I added at the bottom that may come up in the interview or be helpful in solving a problem. Many items are from Steve Yegge's "Get that job at Google" and are reflected sometimes word-for-word in Google's coaching notes. I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements from information received from my contact at Google. This is meant for new software engineers or those switching from software/web development to software engineering (where computer science knowledge is required). If you have many years of experience and are claiming many years of software engineering experience, expect a harder interview. Read more here. If you have many years of software/web development experience, note that Google views software engineering as different from software/web development and they require computer science knowledge. If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). Table of Contents
---------------- Everything below this point is optional ----------------
Why use it?I'm following this plan to prepare for my Google interview. I've been building the web, building services, and launching startups since 1997. I have an economics degree, not a CS degree. I've been very successful in my career, but I want to work at Google. I want to progress into larger systems and get a real understanding of computer systems, algorithmic efficiency, data structure performance, low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. Every data structure I've ever used was built into the language, and I didn't know how they worked under the hood at all. I've never had to manage memory unless a process I was running would give an "out of memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and thousands of associative arrays, but I've never created data structures from scratch. But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me months. If you are familiar with a lot of this already it will take you a lot less time. How to use itEverything below is an outline, and you should tackle the items in order from top to bottom. I'm using Github's special markdown flavor, including tasks lists to check progress.
More about Github-flavored markdown Get in a Googley MoodPrint out a "future Googler" sign (or two) and keep your eyes on the prize. Did I Get the Job?I'm in the queue right now. Hope to interview soon.
Follow Along with MeMy story: Why I Studied Full-Time for 8 Months for a Google Interview I'm on the journey, too. Follow along:
Don't feel you aren't smart enough
About Google
About Video ResourcesSome videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free.
Interview Process & General Interview Prep
Pick One Language for the InterviewI wrote this short article about it: Important: Pick One Language for the Google Interview You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices:
You could also use these, but read around first. There may be caveats:
You need to be very comfortable in the language and be knowledgeable. Read more about choices:
You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. Book ListThis is a shorter list than what I used. This is abbreviated to save you time. Interview Prep
If you have tons of extra time:
Computer ArchitectureIf short on time:
If you have more time (I want this book):
Language SpecificYou need to choose a language for the interview (see above). Here are my recommendations by language. I don't have resources for all languages. I welcome additions. If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. You can skip all the video lectures in this project, unless you'd like a review. Additional language-specific resources here. C++I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome.
If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. Java
OR:
Python
Optional BooksSome people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:
Before you Get StartedThis list grew over many months, and yes, it kind of got out of hand. Here are some mistakes I made so you'll have a better experience. 1. You Won't Remember it AllI watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going through my notes and making flashcards so I could review. Read please so you won't make my mistakes: Retaining Computer Science Knowledge 2. Use FlashcardsTo solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. Each card has different formatting. I made a mobile-first website so I could review on my phone and tablet, wherever I am. Make your own for free:
Note on flashcards: The first time you recognize you know the answer, don't mark it as known. You have to see the same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in your brain. An alternative to using my flashcard site is Anki, which has been recommended to me numerous times. It uses a repetition system to help you remember. It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks @xiewenya) 3. Review, review, reviewI keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. Take a break from programming problems for a half hour and go through your flashcards. 4. FocusThere are a lot of distractions that can take up valuable time. Focus and concentration are hard. What you won't see coveredThis big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent technologies but were not mentioned in those notes:
The Daily PlanSome subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. Each day I take one subject from the list below, watch videos about that subject, and write an implementation in:
You don't need all these. You need only one language for the interview. Why code in all of these?
I may not have time to do all of these for every subject, but I'll try. You can see my code here:
You don't need to memorize the guts of every algorithm. Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. Prerequisite Knowledge
Algorithmic complexity / Big-O / Asymptotic analysis
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