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Computer Science - Software Engineering | Coding Interviews - Questions, Analysis & Solutions

Coding Interviews

Questions, Analysis & Solutions

He, Harry

2012, XVIII, 304 p.

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  • It is written from interviewers' perspective. It illustrates the expected solution of each coding problem, and the standards in interviewers' mind to evaluate different solutions.
  • Beside solutions, it also provides detailed analysis of each interview question. It focuses more on approaches to reaching solutions, rather than just provides solutions.
  • There is executable and debug-able source code accompanying this book, to enhance readers' understanding of the selected more than 100 interview questions.
This book is about coding interview question of software and Internet companies. It covers five key factors which determine performance of candidates: (1) the basics of programming languages, data structures and algorithms, (2) approaches to writing code with high quality, (3) tips to solve difficult problems, (4) methods to optimize code, (5) soft skills required in interviews. The basics of languages, algorithms and data structures are discussed as well as questions that explore how to write robust solutions after breaking down problems into manageable pieces. It also includes examples to focus on modeling and creative problem solving.

Interview questions from the most popular companies in the IT industry are taken as examples to illustrate the five factors above. Besides solutions, it contains detailed analysis, how interviewers evaluate solutions, as well as why they like or dislike them.

Readers will improve their interview performance after reading this book. It will be beneficial for them even after they get offers, because its topics, such as approaches to analyzing difficult problems, writing robust code and optimizing, are all essential for high-performing coders.

Content Level » Popular/general

Related subjects » Information Systems and Applications - Software Engineering

Table of contents 

1. Interview Process

2. Programming Languages

3. Data Structures

4. Algorithms

5. High Quality Code

6. Approaches to Solutions

7. Optimization

8. Skills for Interviews

9. Interview Cases

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