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Top Java Challenges: Cracking the Coding Interview: based on real interviews
Paperback
Publisher: Independently Published
Published: Jun 1 2020
Pages: 208
Weight: 0.81
Height: 0.44 Width: 7.00 Depth: 10.00
Language: English
Struggling with algorithm questions? Feeling overwhelmed by trees, graphs, and dynamic programming? This book is your complete roadmap to ace technical interviews with confidence. Designed specifically for software engineers preparing for coding interviews, it breaks down complex concepts into clear, practical strategies you can apply immediately.
Inside, you'll learn how top engineers approach problem-solving, optimize time and space complexity, and recognize patterns that appear again and again in real interviews. With step-by-step solutions, real-world examples, and carefully selected practice problems, you won't just memorize answers - you'll learn how to think as an interviewer expects. Whether you're aiming for FAANG, startups, or your next career upgrade, this book gives you the competitive edge you need. Why are algorithms used in interviews?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.
- Master Big-O analysis, time and space trade-offs, and performance optimization techniques recruiters expect.
- 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., a graph-based transport system, a tic-tac-toe game, or DHL Locker.
- 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.
- Walk through 50 real coding challenges with detailed explanations - not just final answers.
- Learn proven problem-solving frameworks used by FAANG and top tech engineers.
Table of Contents
- Inner workings of Data Structures
- Big O Notation
- Arrays and Strings
- Linked Lists
- Math and Logic Puzzles
- Recursion, Backtracking, Greedy Algorithms, Dynamic Programming
- Sorting and Searching
- Stacks and Queues
- Hash Table
- Trees and Graphs
- Challenge Codes
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