Cracking The Java Interview


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Cracking the Coding Interview


Cracking the Coding Interview

Author: Gayle Laakmann McDowell

language: en

Publisher: CreateSpace

Release Date: 2011


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Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time.

TOP 30 Java Interview Coding Tasks


TOP 30 Java Interview Coding Tasks

Author: Matthew Urban

language: en

Publisher: net-boss

Release Date: 2018-07-04


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Top Java Challenges: Cracking the Coding Interview


Top Java Challenges: Cracking the Coding Interview

Author: Moises Gamio

language: en

Publisher:

Release Date: 2020-04-24


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This book covers the most frequent challenge codes included in the final stage of your job interview. The interviewer is looking to evaluate your Problem-solving skills, how you react when faced with unknown problem e.g design an algorithm to solve a problem you haven't seen before. This book is an additional reference so that you can be as prepared as possible.Data structures organize data that algorithms work upon. We follow the following steps to develop a usable algorithm:- Model the problem, identifying the elements of the problem, ending in an abstract data type.- Find an algorithm to solve it, defining the data structures, data types and a sequence of steps algorithms need to do.- Is the algorithm enough fast and fit in memory? Here we must refactor the algorithm possibly changing the data structures and the sequence of steps.- Iterating until we are satisfied.By the end of reading this book, you'll be able to:- understand the basics of common data structures and algorithms and apply them to real questions.- understand the importance of modules, readable variables, hashing, recursion, queues, stacks, and much more.- face with unknown problems better than other candidates.