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 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:…

[Submit tutorial]

Table of contents

• 3D Renderer
• Augmented Reality
• BitTorrent Client
• Blockchain / Cryptocurrency
• Bot
• Command-Line Tool
• Database
• Docker
• Emulator / Virtual Machine
• Front-end Framework / Library
• Game
• Git
• Network Stack
• Neural Network
• Operating System
• Physics Engine
• Programming Language
• Regex Engine
• Search Engine
• Shell
• Template Engine
• Text Editor
• Visual Recognition System
• Voxel Engine
• Web Search Engine
• Web Server
• Uncategorized

Tutorials

Build your own 3D Renderer

• C++: Introduction to Ray Tracing: a Simple Method for Creating 3D Images
• C++: How OpenGL works: software rendering in 500 lines of code
• C++: Raycasting engine of Wolfenstein 3D
• C++: Physically Based Rendering:From Theory To Implementation
• C++: Rasterization: a Practical Implementation
• C# / TypeScript / JavaScript: Learning how to write a 3D soft engine from scratch in C#, TypeScript or JavaScript
• Java / JavaScript: Build your own 3D renderer
• Java: How to create your own…

Tech Interview Handbook

Credits: Illustration by @leftaligned

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What is this?

No one has time to do a few hundred LeetCode questions. Here's free and curated technical interview preparation materials for busy engineers, brought to you by the author of the Blind 75 List.

Besides the usual algorithm questions, other awesome stuff includes:

• How to prepare for coding interviews
• Interview Cheatsheet - Straight-to-the-point Do's and Don'ts
• Algorithm tips and the best practice questions categorized by topic
• Interview formats of the top tech companies
• Behavioral questions asked by the top tech companies
• Good questions to ask your interviewers at the end of the interviews
• Helpful resume tips to get your resume noticed and the Do's and…

How to Secure Anything

Security engineering is the discipline of building secure systems.

Its lessons are not just applicable to computer security. In fact, in this repo, I aim to document a process for securing anything, whether it's a medieval castle, an art museum, or a computer network.

Please contribute! Create a pull request or just create a issue for content you'd like to add: I'll add it for you!

Table of contents

• What is security engineering?
• High level process
• Follow known best practices
• Understand your adversaries
• Security policies
• Security models
• Improve defenses

  • Minimize attack surface

  • Minimize and verify your trusted computing base (TCB)

  • Separate privileges

  • Minimize privileges

  • Secure by default

  • Secure by design

  • Prevent/detect/respond framework

  • Kill chains

  • Security design principles

• Find vulnerabilities
  • Developing an attacker mindset
    • Think in graphs
  • Attack trees
  • On, un-bypassable, tamperproof, functionally correct, fail closed
    • Example: a burglar
  • Assumptions analysis
  • Failure analysis
    • Fault tree analysis
    • FMEA
  • …

JavaScript Algorithms and Data Structures

This repository contains JavaScript based examples of many popular algorithms and data structures.

Each algorithm and data structure has its own separate README with related explanations and links for further reading (including ones to YouTube videos).

Read this in other languages: 简体中文 繁體中文 한국어 日本語, Polski, Français, Español, Português, Русский, Türk, Italiana, Bahasa Indonesia, Українська, Arabic, Deutsch

☝ Note that this project is meant to be used for learning and researching purposes only, and it is not meant to be used for production.

Data Structures

A data structure is a particular way of organizing and storing data in a computer so that it can be accessed and modified efficiently. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can…

How Web Works

What happens behind the scenes when we type google.com in a browser?

Table of Contents

• Google's 'g' key is pressed
• When you hit 'Enter'
• Parse the URL
• Check HSTS list
• DNS lookup
• Opening of a socket + TLS handshake
• HTTP protocol
• HTTP Server Request Handle
• Server Response
• Behind the scenes of the Browser
• The browser's high level structure
• Rendering Engine
• The Main flow
• Parsing Basics
• DOM Tree
• Render Tree
• Render tree's relation to the DOM tree
• CSS Parsing
• Layout
• Painting
• Trivia

Google's 'g' key is pressed

When you just press "g" the browser receives the event and the entire auto-complete machinery kicks into high gear. Depending on your browser's algorithm and if you are in private/incognito mode or not various suggestions will be presented to you in the dropbox below the URL bar. Most of these algorithms prioritize results based on search history and bookmarks. You are…

The Algorithms - JavaScript

All algorithms implemented in JavaScript (for educational purposes only)

These are for demonstration purposes only. There are many implementations of sorts in the JavaScript standard library that are much better for performance reasons.

Contribution Guidelines

Read our Contribution Guidelines before you contribute.

List of Algorithms

See our directory.

Algorithm Explanation

See our wiki.

English ∙ 日本語 ∙ 简体中文 ∙ 繁體中文 | العَرَبِيَّة‎ ∙ বাংলা ∙ Português do Brasil ∙ Deutsch ∙ ελληνικά ∙ עברית ∙ Italiano ∙ 한국어 ∙ فارسی ∙ Polski ∙ русский язык ∙ Español ∙ ภาษาไทย ∙ Türkçe ∙ tiếng Việt ∙ Français | Add Translation

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The System Design Primer

Motivation

Learn how to design large-scale systems.

Prep for the system design interview.

Learn how to design large-scale systems

Learning how to design scalable systems will help you become a better engineer.

System design is a broad topic. There is a vast amount of resources scattered throughout the web on system design principles.

This repo is an organized collection of resources to help you learn how to build systems at scale.

Learn from the open source community

This is a continually updated, open source project.

Contributions are welcome!

Prep for the system design interview

In addition…

All your environment variables, in one place

Stop struggling with scattered API keys, hacking together home-brewed tools,

and avoiding access controls. Keep your team and servers in sync with Doppler.

Awesome Interviews

A curated list of lists of technical interview questions.

What makes for an awesome list?

Please read the contribution guidelines or creating a list guide if you want to contribute.

Table of Contents

• Programming Languages/Frameworks/Platforms

  • Android
  • AngularJS
  • Angular
  • BackboneJS
  • C++
  • C
  • C♯
  • .NET
  • Clojure
  • CSS
  • Cucumber
  • Django
  • Docker
  • EmberJS
  • Erlang
  • Golang
  • GraphQl
  • HTML
  • Ionic
  • iOS
  • Java
  • JavaScript
  • jQuery
  • Front-end build tools
  • KnockoutJS
  • Less
  • Lisp
  • NodeJS
  • Objective-C
  • PHP
  • Python
  • ReactJS
  • Rails
  • Ruby
  • Rust
  • Sass
  • Scala
  • Shell
  • Spark
  • Swift
  • Vue.js
  • Wordpress
  • TypeScript

• Database technologies

  • Cassandra
  • Microsoft Access
  • MongoDB
  • MySQL
  • Neo4j
  • Oracle
  • Postgres
  • SQL
  • SQL Lite

• Caching technologies

  • Memcached
  • Redis

• OS

  • Linux
  • Windows

• Algorithms

• Blockchain

• Coding exercises

• Comprehensive lists

• Design patterns

• Data structures

• Networks

• Security

• Data Science

Programming Languages/Frameworks/Platforms

Android

• 10…

Contents

• Algorithms
  • Books
  • Coding Practice
  • Guides
  • Misc
• Guides
  • Articles
  • Books
  • Courses
  • Misc
  • Mock interviews
  • Q&A
  • Sites
  • Videos
• Languages and technologies
  • Android
  • ASP.NET
  • JavaScript
  • Node
  • PHP
  • Python
  • React
• Other topics
  • Crypto
  • Funny
  • Maths
  • Networking
  • Operating Systems
  • System Design
• Similar repos

Found a dead link? Try archive.is or the Wayback Machine.

Algorithms

Books

• Jeff Erickson - Algorithms
• Steven Skiena – The Algorithm Design Manual
• Udi Manber – Introduction to Algorithms: A Creative Approach
• Cormen, Leiserson, Rivest, Stein – Introduction to Algorithms
• Sedgewick, Wayne – Algorithms
• Antti Laaksonen – Competitive Programmer's Handbook
• Steven & Felix Halim – Competitive Programming
• Jon Bentley – Programming Pearls
• E-Maxx Algorithms
  • Original [RU]
• vhf/free-programming-books
• it-ebooks.info
• S. Dasgupta, C. H. Papadimitriou, and U. V. Vazirani -Algorithms

Coding practice

• LeetCode
  • LeetCode w/ Explanations labuladong/fucking-algorithm
• InterviewBit
• Codility
• Intervue.io
• HackerRank
• Project Euler
• Spoj
• Google Code Jam practice problems
• HackerEarth
• Top Coder
• CodeChef
• Codewars
• CodeSignal
• CodeKata
• Firecode
• CoderPad
• Exercism

Guides

• GeeksForGeeks…

A Huge Number of Go Examples, Exercises and Quizzes

Best way of learning is doing. Inside this repository, you will find thousands of Go examples, exercises and quizzes. I initially created this repository for my Go: Bootcamp Course. Later on, I added a lot of exercises, and I wanted every programmer who is not yet enrolled in the course to learn for free as well. So here it is. Enjoy.

Available in the following languages:

• English
• Spanish (WIP: Please Contribute)

❤️ Help other fellow developers

Sharing is free but caring is priceless. So, now please click here and share this repository on Twitter.

Stay in touch

• Follow me on Twitter

  I usually tweet Go tips and tricks.

  

• Subscribe to my newsletter

  Get updates from me.

• Read my blog

  Followed by 5K+ developers, and contains dozens of illustrated articles about Go.

• Watch my Youtube channel

License

Whole materials are licensed…

clean-code-javascript

Table of Contents

1. Introduction
2. Variables
3. Functions
4. Objects and Data Structures
5. Classes
6. SOLID
7. Testing
8. Concurrency
9. Error Handling
10. Formatting
11. Comments
12. Translation

Introduction

Software engineering principles, from Robert C. Martin's book Clean Code adapted for JavaScript. This is not a style guide. It's a guide to producing readable, reusable, and refactorable software in JavaScript.

Not every principle herein has to be strictly followed, and even fewer will be universally agreed upon. These are guidelines and nothing more, but they are ones codified over many years of collective experience by the authors of Clean Code.

Our craft of software engineering is just a bit over 50 years old, and we are still learning a lot. When software architecture is as old as architecture itself, maybe then we will have harder rules to follow. For now, let these guidelines serve as a touchstone by which to assess the quality of the JavaScript…