Calculus and Analytic Geometry

I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer. Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions. These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. **WHAT'S INSIDE?*** 189 programming interview questions, ranging from the basics to the trickiest algorithm problems. * A walk-through of how to derive each solution, so that you can learn how to get there yourself. * Hints on how to solve each of the 189 questions, just like what you would get in a real interview. * Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen. * Extensive coverage of essential topics, such as big O time, data structures, and core algorithms. * A behind the scenes look at how top companies like Google and Facebook hire developers. * Techniques to prepare for and ace the soft side of the interview: behavioral questions. * For interviewers and companies: details on what makes a good interview question and hiring process. Now In The 6th Edition, The Book Gives You The Interview Preparation You Need To Get The Top Software Developer Jobs. This Is A Deeply Technical Book And Focuses On The Software Engineering Skills To Ace Your Interview. The Book Includes 189 Programming Interview Questions And Answers, As Well As Other Advice. 1. The Interview Process. Why? -- How Questions Are Selected -- Timeline And Preparation Map -- It's All Relative -- Frequently Asked Questions -- 2. Behind The Scenes. The Microsoft Interview -- The Amazon Interview -- The Google Interview -- The Apple Interview -- The Facebook Interview -- The Palantir Interview -- 3. Special Situations. Experienced Candidates -- Testers And Sdets -- Product (and Program) Managment --dev Lead And Managers -- Start-ups -- Acquisitions And Acquihires -- For Interviewers -- 4. Before The Interview. Getting The Right Experience -- Writing A Great Resume -- Preparation Map -- 5. Behavioral Questions. Interview Preparation Grid -- Know Your Technical Projects -- Responding To Behavioral Questions -- So, Tell Me About Yourself -- 6. Big O. An Analogy -- Time Complexity -- Space Complexity -- Drop The Constraints -- Drop The Non-dominant Terms -- Multi-part Algorithms: Add Vs. Multiply -- Amortized Time -- Log N Runtimes -- Recursive Runtimes --^ Examples And Exercises -- 7. Technical Questions. How To Prepare -- What You Need To Know -- Walking Through A Problem -- Optimize & Solve Technique # 1: Look For Bud -- Optimize & Solve Technique #2: Diy (do It Yourself) -- Optimize & Solve Technique #3: Simplify And Generalize -- Optimize & Solve Technique #4: Base Case And Build -- Optimize & Solve Technique #5: Data Structure Brainstorm -- Best Conceivable Runtime (bcr) -- Handling Incorrect Answers -- When You've Heard A Question Before -- The 'perfect' Language For Interviews -- What Good Coding Looks Like -- Don't Give Up! -- 8. The Offer And Beyond. Handling Offers And Rejection -- Evaluating The Offer -- Negotiation -- On The Job -- 9. Interview Questions. Data Structures: Arrays And Strings ; Linked Lists ; Stacks And Queues ; Trees And Graphs --^ Concepts And Algorithms. Bit Manipulation ; Math And Logic Puzzles ; Object-oriented Design ; Recursion And Dynamic Programming ; System Design And Scalability ; Sorting And Searching ; Testing -- Knowledge Based. C And C++ ; Java ; Databases ; Threads And Locks ; Additional Review Problems. Moderate ; Hard -- 10. Solutions. Data Structures -- Concepts And Algorithms -- Knowledge Based -- Additional Review Problems -- 11. Advanced Topics. Useful Math -- Topological Sort -- Dijkstra's Algorithm -- Hash Table Collision Resolution -- Rabin-karp Substring Search -- Avl Trees -- Red-black Trees -- Mapreduce -- Additional Studying -- 12. Code Library. Hashmaplist -- Treenode (binary Search Tree) -- Linkedlistnode (linked List) -- Trie & Trienode -- 13. Hints. Hints For Data Structures -- Hints For Concepts And Algorithms -- Hints For Knowledge-based Questions -- Hints For Assorted Review Problems -- 14. About The Author. Gayle Laakmann Mcdowell, Founder And Ceo, Careercup.com. Introduction Table of Contents Foreword I. The Interview Process II. Behind the Scenes III. Special Situations IV. Before the Interview V. Behavioral Questions VI. Big O VII. Technical Questions VIII. The Offer and Beyond IX. Interview Questions 1. Arrays and Strings 2. Linked Lists 3. Stacks and Queues 4. Trees and Graphs 5. Bit Manipulation 6. Math and Logic Puzzles 7. Object-Oriented Design 8. Recursion and Dynamic Programming 9. System Design and Scalability 10. Sorting and Searching 11. Testing 12. C and C++ 13. Java 14. Databases 15. Threads and Locks 16. Moderate 17. Hard X. Solutions 1. Solutions to Arrays and Strings 2. Solutions to Linked Lists 3. Solutions to Stacks and Queues 4. Solutions to Trees and Graphs 5. Solutions to Bit Manipulation 6. Solutions to Math and Logic Puzzles 7. Solutions to Object-Oriented Design 8. Solutions to Recursion and Dynamic Programming 9. Solutions to System Design and Scalability 10. Solutions to Sorting and Searching 11. Solutions to Testing 12. Solutions to C and C++ 13. Solutions to Java 14. Solution to Databases 15. Solutions to Threads and Locks 16. Solutions to Moderate 17. Solutions to Hard XI. Advanced Topics XII. Code Library XIII. Hints I. Hints for Data Structures II. Hints for Concepts and Algorithms III. Hints for Knowledge-Based Questions IV. Hints for Additional Review Problems XIV. About the Author