Algorithms and Data Structures in Java: Basic Course

The book "Algorithms and Data Structures in Java" is a practical guide that will help you master fundamental programming concepts through the lens of the Java language. The author, an experienced Java developer with many years of experience, consistently guides the reader from simple structures (arrays, lists) to complex ones (trees, graphs, hash tables), accompanying each step with detailed code examples and clear diagrams.

Unlike dry academic textbooks, this book emphasizes practical application. You will not only learn how binary search or quicksort works — you will see how to implement these algorithms in Java, what pitfalls exist, and how to optimize code for real-world projects. Each chapter contains:

• Theoretical block — an accessible explanation of how an algorithm or data structure works, with an assessment of time and space complexity (Big O).
• Implementation in Java — ready-made, tested code that you can use immediately or adapt for your tasks.
• Practical exercises — problems of varying difficulty levels with solutions at the end of the book. Ideal for preparing for technical interviews.
• Performance tips — how to choose the optimal data structure for a specific task and avoid common mistakes.

Who is this book for?

• Beginning Java developers who want to build a solid foundation in algorithms.
• Technical students studying programming.
• Experienced programmers transitioning to Java from other languages and wanting to systematize their knowledge.
• Anyone preparing for interviews at IT companies (FAANG and similar).

What you will learn from the book:

• How dynamic arrays, linked lists, stacks, and queues work.
• All popular sorting algorithms (bubble, insertion, merge, quick) and their comparison.
• Binary search trees, AVL trees, red-black trees, and their applications.
• Graphs: depth-first and breadth-first traversal, Dijkstra's and Bellman-Ford algorithms.
• Hash tables and collision resolution.
• Dynamic programming with practical examples.
• Working with strings: substring search (KMP, Boyer-Moore), regular expressions.

The book is written in a lively, understandable language. Complex concepts are broken down into simple steps, and each algorithm is illustrated with diagrams. Over 200 pages of code and 100 problems with solutions — you will get not just theory, but a real tool for daily work.

Whether you are writing microservices, mobile applications, or working with big data — understanding algorithms and data structures in Java will be your competitive advantage. Start your journey to mastery today!