Announcing Classic Computer Science Problems in Java

I am pleased to announce the availability of my fourth book, Classic Computer Science Problems in Java. You can now purchase early access to the book from Manning. Use promo code ccspkopec for 40% off. This is the third book in the Classic Computer Science Problems series, following Classic Computer Science Problems in Swift and Classic Computer Science Problems in Python. You can find out more about the series at The manuscript is complete but it is being rolled out in chunks for reader feedback over the summer. Hopefully, the final version will be in print by the end of the year.

The books are aimed at intermediate programmers who want to delve deeper into the covered problem solving techniques, brush up on core algorithms, or learn more Swift/Python/Java using problems familiar to them from other languages. They are suitable for professionals looking to deepen their understanding of the covered topics, students with some programming background looking to expand their computer science knowledge, and anyone preparing for coding interviews.

What is a “Classic Computer Science Problem?” It is a problem one typically finds in an undergraduate computer science curriculum. The topics covered in the books span the gamut from core computer science algorithms you would find in a data structures & algorithms class to artificial intelligence and its sub-discipline machine learning. There are both practical and whimsical problems. They include classic search problems, constraint satisfaction problems, graph algorithms, genetic algorithms, k-means clustering, simple neural networks, and more!

They’re meant to be approachable broad books, not deep books. They’re not textbooks. They’re hands on code-centric tutorials to pique your interest in the many topics covered.

All of the code in the most recent book is available on GitHub. The book takes advantage of features up to version 11 of the Java language. The code only uses the Java standard library throughout, so there’s no wrestling with third-party libraries. You will learn how to solve all of the problems in the book “from scratch” so that you gain a deeper understanding of how each problem solving technique works under-the-hood.

To learn more, checkout the Classic Computer Science Problems in Java page on Manning’s website where you will find a full table of contents and temporary free access to small portions of the book.

We decided to bring the book to Java (a language close to my heart because I first learned it as a teenager over 20 years ago and have worked professionally in it), because the Python version has been a huge success. It has sold many thousands of copies and has been translated into eight human languages in addition to the original English. The Swift version did only moderately well, so we are excited to bring the book to another mainstream language audience. We try to be careful to make sure each version uses best practices in its respective language, but I would love to hear your feedback about the Java version during the early access period for any ways we can improve on our use of the Java language.

Remember that you are purchasing a pre-release version of the book, so you will be joining me on the journey to its final release in the fall. You will be receiving rough drafts of chapters before they have been fully vetted. I encourage you to send me your feedback, but keep-in mind that these are early days and everything is not yet perfect. You will receive the final version of the book upon publication.

About Me

I teach Computer Science to college students, develop software, podcast, and write books about programming including the Classic Computer Science Problems series. I'm the publisher of the hyper local newsletter BTV Daily.

You can find me on Twitter and GitHub. Check out my podcasts Kopec Explains Software and Business Books & Co. You can subscribe to my very low volume newsletter to find out about my future book, media, or software projects.


©2012-2023 David Kopec. As an Amazon Associate I earn from qualifying purchases.

Based on tdSimple originally by Lasantha Bandara and released under the CC By 3.0.