Book Image

The Complete Coding Interview Guide in Java

By : Anghel Leonard
Book Image

The Complete Coding Interview Guide in Java

By: Anghel Leonard

Overview of this book

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.
Table of Contents (25 chapters)
1
Section 1: The Non-Technical Part of an Interview
7
Section 2: Concepts
12
Section 3: Algorithms and Data Structures
19
Section 4: Bonus – Concurrency and Functional Programming

Big O examples

We will try to determine Big O for different snippets of code exactly as you will see at interviews, and we will go through several relevant lessons that need to be learned. In other words, let's adopt a learning-by-example approach.

The first six examples will highlight the fundamental rules of Big O, listed as follows:

  • Drop constants
  • Drop non-dominant terms
  • Different input means different variables
  • Different steps are summed or multiplied

Let us begin with trying out the examples.

Example 1 – O(1)

Consider the following three snippets of code and compute Big O for each of them:

// snippet 1
return 23;

Since this code returns a constant, Big O is O(1). Regardless of what the rest of the code does, this line of code will execute at a constant rate:

// snippet 2 - 'cars' is an array 
int thirdCar = cars[3];

Accessing an array by index is accomplished with O(1). Regardless of how many elements are...