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The Complete Coding Interview Guide in Java

You're reading from   The Complete Coding Interview Guide in Java An effective guide for aspiring Java developers to ace their programming interviews

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212062
Length 788 pages
Edition 1st Edition
Languages
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Author (1):
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Anghel Leonard Anghel Leonard
Author Profile Icon Anghel Leonard
Anghel Leonard
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: The Non-Technical Part of an Interview
2. Chapter 1: Where to Start and How to Prepare for the Interview FREE CHAPTER 3. Chapter 2: What Interviews at Big Companies Look Like 4. Chapter 3: Common Non-Technical Questions and How To Answer Them 5. Chapter 4: How to Handle Failures 6. Chapter 5: How to Approach a Coding Challenge 7. Section 2: Concepts
8. Chapter 6: Object-Oriented Programming 9. Chapter 7: Big O Analysis of Algorithms 10. Chapter 8: Recursion and Dynamic Programming 11. Chapter 9: Bit Manipulation 12. Section 3: Algorithms and Data Structures
13. Chapter 10: Arrays and Strings 14. Chapter 11: Linked Lists and Maps 15. Chapter 12: Stacks and Queues 16. Chapter 13: Trees and Graphs 17. Chapter 14: Sorting and Searching 18. Chapter 15: Mathematics and Puzzles 19. Section 4: Bonus – Concurrency and Functional Programming
20. Chapter 16: Concurrency 21. Chapter 17: Functional-Style Programming 22. Chapter 18: Unit Testing 23. Chapter 19: System Scalability 24. Other Books You May Enjoy

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...

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