Top Java Challenges: Cracking the Coding Interview: based on real interviews

If you want to join an ever-changing field full of discovery and potential, one where you’ll never get bored and have a chance to make an impact — then your answer may be ‘yes.’ Tech will put you right where the growth and disruption are happening. It will take hard work, but you will thrive if you are willing to adapt and learn.

I am a software engineer who faced real interviews as a candidate for startups and big companies. Throughout the years, I have sourced factual questions that have been tried, tested, and commented on step by step and are now part of this book!. I hope you find them practical and useful in your career search.

Why are algorithms used in interviews?

Jobs in the tech industry are expected to grow exponentially in the next few years. If you plan to enter the job market soon, you must know that companies will evaluate your problem-solving skills based on data structures and algorithms, and you will need to face a complex problem on a blackboard.

That's the reason why Algorithms and Data structures are vital. You need this book because it includes the most common questions you can find in a real interview!.

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.
• Apply clean code practices to develop a usable algorithm.
• Understand the importance of text manipulation methods, lists, recursion, class design, queues, stacks, hashing, trees, graphs, and many more.
• Develop a complete algorithm using the TDD approach, e.g., graph-based transport system, tic tac toe game.
• React better than other candidates when faced with a new problem, e.g., design an algorithm to solve a problem you haven't seen before.
• Understand and practice 40 code challenges explained step by step, including its pictorial representation.

I usually write Tech articles at https://codersite.dev and https://medium.com/@mkgv89

Table of Contents

• Inner workings of Data Structures
• Big O Notation
• Arrays and Strings
• Linked Lists
• Math and Logic Puzzles
• Recursion
• Sorting and Searching
• Stacks and Queues
• Hash Table
• Trees and Graphs
• Challenge Codes