The Complete Coding Interview Guide in Java: An effective guide for aspiring Java developers to ace their programming interviews

✍ Scribed by Anghel Leonard

• Publisher: Packt Publishing
• Year: 2020
• Tongue: English
• Leaves: 788
• Category: Library

✦ Synopsis

Explore a wide variety of popular interview questions and learn various techniques for breaking down tricky bits of code and algorithms into manageable chunks

Key Features

• Discover over 200 coding interview problems and their solutions to help you secure a job as a Java developer
• Work on overcoming coding challenges faced in a wide array of topics such as time complexity, OOP, and recursion
• Get to grips with the nuances of writing good code with the help of step-by-step coding solutions

Book Description

Java is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy. This comprehensive guide will help you to tackle various challenges faced in a coding job interview and avoid common interview mistakes, and will ultimately guide you toward landing your job as a Java developer.

This book contains two crucial elements of coding interviews - a brief section that will take you through non-technical interview questions, while the more comprehensive part covers over 200 coding interview problems along with their hands-on solutions. This book will help you to develop skills in data structures and algorithms, which technical interviewers look for in a candidate, by solving various problems based on these topics covering a wide range of concepts such as arrays, strings, maps, linked lists, sorting, and searching. You'll find out how to approach a coding interview problem in a structured way that produces faster results. Toward the final chapters, you'll learn to solve tricky questions about concurrency, functional programming, and system scalability.

By the end of this book, you'll have learned how to solve Java coding problems commonly used in interviews, and will have developed the confidence to secure your Java-centric dream job.

What you will learn

• Solve the most popular Java coding problems efficiently
• Tackle challenging algorithms that will help you develop robust and fast logic
• Practice answering commonly asked non-technical interview questions that can make the difference between a pass and a fail
• Get an overall picture of prospective employers' expectations from a Java developer
• Solve various concurrent programming, functional programming, and unit testing problems

Who this book is for

This book is for students, programmers, and employees who want to be invited to and pass interviews given by top companies. The book assumes high school mathematics and basic programming knowledge.

Table of Contents

1. When to start and how to prepare for the interview
2. How interviews of big companies looks like
3. What are and how to answer to the common non-technical questions
4. How to handle failures
5. How to approach a coding problem
6. OOP
7. Big O Time
8. Recursion and dynamic programming
9. Bit manipulation
10. Arrays and Strings
11. Linked lists and maps
12. Stacks and queues
13. Trees, tries and graphs
14. Sorting and searching
15. Math and statistics
16. Concurrency
17. Functional-style programming
18. Unit Testing
19. System Scalability

✦ Table of Contents

Cover
Copyright and Credits
About PACKT
Contributors
Table of Contents
Preface
Section 1: The Non-Technical Part of an Interview
Chapter 1: Where to Start and How to Prepare for the Interview
Chapter 2: What Interviews at Big Companies Look Like
Chapter 3: Common Non-Technical Questions and How To Answer Them
Chapter 4: How to Handle Failures
Chapter 5:
How to Approach a
Coding Challenge
Section 2:
Concepts
Chapter 6:
Object-Oriented
Programming
Chapter 7:
Big O Analysis of
Algorithms
Chapter 8:
Recursion
and Dynamic
Programming
Chapter 9:
Bit Manipulation
Section 3:
Algorithms and Data
Structures
Chapter 10:
Arrays and Strings
Chapter 11:
Linked Lists and
Maps
Cha[ter 12:
Stacks and Queues
Chapter 13:
Trees and Graphs
Chapter 14:
Sorting and
Searching
Chapter 15:
Mathematics and
Puzzles
Section 4:
Bonus – Concurrency
and Functional
Programming
Chapter 16:
Concurrency
Chapter 17:
Functional-Style
Programming
Chapter 18:
Unit Testing
Chapter 19:
System Scalability
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Index