• 2 hours each weekday
  • 1 hour in the AM
  • 2 hours in the PM
• 3 hours each Saturday
• 2 hours each Sunday
• 7 days a week
• Monday through Sunday

Approximately 20 hours a week

• Data Structures for Interviews
• Algorithms and data structures for Interview preparation
• Optional (if access to Lynda): Four Semesters of Computer Science in 5 Hours with Brian Holt

• Grokking Algorithms
  • Or any other book or guide of your choosing

• Exercism.io
  • Going with Python

• Basic video review of core concept online (30 minutes)
• More in depth with online course study (Stanford course?)
• Work through coding exercises
  • Cracking the Coding Interview
• Make flash cards of any generalized info (if applicable)

• Basic video review of core concept online (30 minutes)
  • HackerRank Data Structures: Hash Tables with Gayle Laakmann McDowell
• More in depth with online course study (Stanford course?)
• Work through coding exercises
  • Cracking the Coding Interview
• Make flash cards of any generalized info (if applicable)

• Basic video review of core concept online (30 minutes)
• More in depth with online course study (Stanford course?)
• Work through coding exercises
  • Cracking the Coding Interview
• Make flash cards of any generalized info (if applicable)

• Basic video review of core concept online (30 minutes)
• Reading...
• Make flash cards of any generalized info (if applicable)

• Basic video review of core concept online (30 minutes)
• Reading...
• Make flash cards of any generalized info (if applicable)

• Basic video review of core concept online (30 minutes)
• Reading...
• Make flash cards of any generalized info (if applicable)

• Basic video review of core concept online (30 minutes)
• Reading...
• Make flash cards of any generalized info (if applicable)

• Review flash cards
• Watch another summary video on topic (30 minutes)

• Review flash cards
• Watch another summary video on topic (30 minutes)

• Review flash cards
• Watch another summary video on topic (30 minutes)

• Review flash cards
• Watch another summary video on topic (30 minutes)

• Review flash cards
• Watch another summary video on topic (30 minutes)

• Review flash cards
• Watch another summary video on topic (30 minutes)

• Review flash cards
• Watch another summary video on topic (30 minutes)

• Write code on computer from sample question and verify solution

• Write code on computer from sample question and verify solution

• Write code on computer from sample question and verify solution

• Write code on whiteboard from sample question and verify solution

• Write code on whiteboard from sample question and verify solution

• Write code on whiteboard from sample question and verify solution

• https://simpleprogrammer.com/2016/10/03/software-developer-interviews/
• https://github.com/jwasham/coding-interview-university
• Stanford University CS 106A: Programming Methodology
• Retaining Computer Science Knowledge
• CS Flash Cards
• Learn Anything: CS: Algorithms
• Khan Academy Algorithms
• Cracking the Coding Interview - YouTube playlist
• How to: Work at Google - Example Coding/Engineering Interview - YouTube
• How to: Prepare for a Google Engineering Interview

• Get that job at Google - Steve Yegge (oldie but a goodie)
• Failing at Google Interviews - Alex Bowe
• Nailing your first Google interview
• Why I studied full-time for 8 months for a Google interview -- "Don’t Study As Much As I Did" -- "Ask don't assume" -- "I read way more books than I needed to" -- "Spaced repetition is the key to memorization" -- "Start coding problems sooner instead of reading and watching videos longer"

• How should I prepare for my Google interview if I have 1 month left and I’m applying for a software engineer role?
• How much time did you spend preparing for Google's interviews? Is everyone who got into Facebook, Google, etc. really that good to solve or understand every classic algorithm or problem?

• LeetCode
• HackerRank
• TopCoder
• Project Euler -- probably just do a few
• many others...

• Data Structures and Algorithms in Python
• Cracking the Coding Interview: 189 Programming Questions and Solutions 6th Edition
• Grokking Algorithms: An illustrated guide for programmers and other curious people
• Head First Design Patterns: A Brain-Friendly Guide
• Design Patterns: Elements of Reusable Object-Oriented Software
• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• Programming Pearls
• The Algorithm Design Manual (based on 3 strong recommendations from blog posts)

• Computer Science Distilled: Learn the Art of Solving Computational Problems
• Introduction to Algorithms, 3rd Edition (MIT Press) 3rd Edition [aka CLRS]
• How Google Works

• Tile Board (Whiteboard)
• "Skinny" Dry Erase Markers

• npcomplete, nap sack, traveling salesman, trees (construction, traversal, manipulation), hash tables, stacks, arrays, linked lists, basic descrete math problems, probability theory, N Choose K problems, recursion, OS (processes, threads, concurrency,concurrency issues, semifors, mutexes, locks, resource allocation, context switching, scheduling, system design - feature sets, distrubed systems, interent basics - routers, balancers, domain name servers, firewalls, basics of search

• coding tests prep places: code chef, top coder, careercup, hackerrank

• Think out load while solving
• Ask clarifying questions -- time or space complexity

Adapted and inspiration from Coding Interview University