Coding Interview University
I originally created this as a short to-do list of study topics for becoming a software engineer,
but it grew to the large list you see today. After going through this study plan, I got hired
as a Software Development Engineer at Amazon!
You probably won't have to study as much as I did. Anyway, everything you need is here.
I studied about 8-12 hours a day, for several months. This is my story: Why I studied full-time for 8 months for a Google interview
Please Note: You won't need to study as much as I did. I wasted a lot of time on things I didn't need to know. More info about that is below. I'll help you get there without wasting your precious time.
The items listed here will prepare you well for a technical interview at just about any software company,
including the giants: Amazon, Facebook, Google, and Microsoft.
Best of luck to you!
Translations:
Translations in progress:
What is it?
This is my multi-month study plan for becoming a software engineer for a large company.
Required:
- A little experience with coding (variables, loops, methods/functions, etc)
- Patience
- Time
Note this is a study plan for software engineering, not frontend engineering or full-stack development. There are really
super roadmaps and coursework for those career paths elsewhere (see https://roadmap.sh/ for more info).
There is a lot to learn in a university Computer Science program, but only knowing about 75% is good enough for an interview, so that's what I cover here.
For a complete CS self-taught program, the resources for my study plan have been included in Kamran Ahmed's Computer Science Roadmap: https://roadmap.sh/computer-science
Table of Contents
The Study Plan
Topics of Study
Getting the Job
---------------- Everything below this point is optional ----------------
Why use it?
If you want to work as a software engineer for a large company, these are the things you have to know.
If you missed out on getting a degree in computer science, like I did, this will catch you up and save four years of your life.
When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, or anything about trees, or how to
traverse a graph. If I had to code a sorting algorithm, I can tell ya it would have been terrible.
Every data structure I had ever used was built into the language, and I didn't know how they worked
under the hood at all. I 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 used a few multidimensional arrays in my life and
thousands of associative arrays, but I never created data structures from scratch.
It's a long plan. It may take you months. If you are familiar with a lot of this already it will take you a lot less time.
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How to use it
Everything 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 track progress.
If you don't want to use git
On this page, click the Code button near the top, then click "Download ZIP". Unzip the file and you can work with the text files.
If you're open in a code editor that understands markdown, you'll see everything formatted nicely.
If you're comfortable with git
Create a new branch so you can check items like this, just put an x in the brackets: [x]
Fork the GitHub repo: https://github.com/jwasham/coding-interview-university by clicking on the Fork button.
Clone to your local repo:
git clone https://github.com/<YOUR_GITHUB_USERNAME>/coding-interview-university.git
cd coding-interview-university
git remote add upstream https://github.com/jwasham/coding-interview-university.git
git remote set-url --push upstream DISABLE # so that you don't push your personal progress back to the original repo
Mark all boxes with X after you completed your changes:
git commit -am "Marked personal progress"
git pull upstream main # keep your fork up-to-date with changes from the original repo
git push # just pushes to your fork
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Don't feel you aren't smart enough
- Successful software engineers are smart, but many have an insecurity that they aren't smart enough.
- The following videos may help you overcome this insecurity:
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A Note About Video Resources
Some videos are available only by enrolling in a Coursera or EdX 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.
It would be great to replace the online course resources with free and always-available public sources,
such as YouTube videos (preferably university lectures), so that you people can study these anytime,
not just when a specific online course is in session.
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Choose a Programming Language
You'll need to choose a programming language for the coding interviews you do,
but you'll also need to find a language that you can use to study computer science concepts.
Preferably the language would be the same, so that you only need to be proficient in one.
For this Study Plan
When I did the study plan, I used 2 languages for most of it: C and Python
- C: Very low level. Allows you to deal with pointers and memory allocation/deallocation, so you feel the data structures
and algorithms in your bones. In higher-level languages like Python or Java, these are hidden from you. In day-to-day work, that's terrific,
but when you're learning how these low-level data structures are built, it's great to feel close to the metal.
- C is everywhere. You'll see examples in books, lectures, videos, everywhere while you're studying.
- The C Programming Language, 2nd Edition
- This is a short book, but it will give you a great handle on the C language and if you practice it a little
you'll quickly get proficient. Understanding C helps you understand how programs and memory work.
- You don't need to go super deep in the book (or even finish it). Just get to where you're comfortable reading and writing in C.
- Python: Modern and very expressive, I learned it because it's just super useful and also allows me to write less code in an interview.
This is my preference. You do what you like, of course.
You may not need it, but here are some sites for learning a new language:
For your Coding Interview
You can use a language you are comfortable in to do the coding part of the interview, but for large companies, these are solid choices:
You could also use these, but read around first. There may be caveats:
Here is an article I wrote about choosing a language for the interview:
Pick One Language for the Coding Interview.
This is the original article my post was based on: Choosing a Programming Language for Interviews
You need to be very comfortable in the language and be knowledgeable.
Read more about choices:
See language-specific resources here
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Books for Data Structures and Algorithms
This book will form your foundation for computer science.
Just choose one, in a language that you will be comfortable with. You'll be doing a lot of reading and coding.
Python
- Coding Interview Patterns: Nail Your Next Coding Interview (Main Recommendation)
- An insider’s perspective on what interviewers are truly looking for and why.
- 101 real coding interview problems with detailed solutions.
- Intuitive explanations that guide you through each problem as if you were solving it in a live interview.
- 1000+ diagrams to illustrate key concepts and patterns.
C
Java
Your choice:
- Goodrich, Tamassia, Goldwasser
- Sedgewick and Wayne:
- Algorithms
- Free Coursera course that covers the book (taught by the authors!):
C++
Your choice:
- Goodrich, Tamassia, and Mount
- Sedgewick and Wayne
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Interview Prep Books
Here are some recommended books to supplement your learning.
Choose one:
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Don't Make My Mistakes
This list grew over many months, and yes, it got out of hand.
Here are some mistakes I made so you'll have a better experience. And you'll save months of time.
1. You Won't Remember it All
I 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. I didn't need all of that knowledge.
Please, read so you won't make my mistakes:
Retaining Computer Science Knowledge.
2. Use Flashcards
To solve the problem, I made a little flashcard site where I could add flashcards of 2 types: general and code.
Each card has a different formatting. I made a mobile-first website, so I could review on my phone or tablet, wherever I am.
Make your own for free:
**I DON'T RECOMMEND using my flashc
这是一份长达数月的自学计划，涵盖通过大公司软件工程师面试所需的计算机科学知识。