10 Best Design Patterns Books for Beginners to Advanced

In this article, we’ll explore ten of the best design pattern books that cater to everyone from beginners to advanced programmers, helping you master the art of writing clean and efficient code.

1. “Design Patterns”: Elements of Reusable Object-Oriented Software

The GoF (Gang of Four) authored the book, which unveils 23 design patterns that were not previously documented. These patterns enable users to devise flexible and reusable designs, eliminating the need to constantly reinvent design solutions. Initially, you will gain an understanding of the concept of design patterns and their role in designing object-oriented software.

Author: Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides

2. “Head First Design Patterns”: Building Extensible and Maintainable Object-Oriented Software by Elisabeth Freeman and Eric Freeman

The pace is nice and slow at first but can get tedious after some time with every chapter describing a fictional scenario and how someone might approach the problem with a simple solution.

Head First Design Patterns learned from their mistakes and shared their knowledge to help others avoid the same difficulties. you will learn some good ways to design things using methods that have been proven to work well. This will help you learn faster and remember the information better. As a result, you will be able to write code more efficiently.

Author: Elisabeth Freeman and Eric Freeman

3. “Peeling Design Patterns: For Beginners and Interviews” by Narasimha Karumanchi

This guide is for people who are new to designing software. It teaches you patterns and principles of software design in a simple and easy-to-understand way. The book has nine chapters and uses Java to show examples of how to design code. The explanations are clear and there are pictures to help you understand. The book also has real examples from the real world to help you apply what you learn. It is a good book for computer scientists and people who don’t know much about software design.

Author: Narasimha Karumanchi

4. “Adaptive Code: Agile coding with design patterns and SOLID principles (Best Practices)” by Gary McLean Hall

The book talks about the best ways to design and write code that can change easily when needed. It explains how to test code and make improvements to it. It also teaches a technique to work with old code. This book is useful for all programmers and helps them create code that can be changed easily in an Agile development environment.

Author: Gary McLean Hall

5. “Patterns of Enterprise Application Architecture” by Martin Fowler, a renowned engineering expert.

You will learn about solutions to common problems in business design. You will also learn how to make decisions when facing a difficult design.

The second part of this book is dedicated to design patterns such as:

• Domain logic patterns
• Data source architectural patterns
• Object-relational behavioral patterns
• Web presentation patterns
• Distribution patterns

Author: Martin Fowler

6. “Selenium Design Patterns and Best Practices” by Dima Kovalenko

This book helps you learn how to make a good Selenium test suite. It teaches you how to make your code better and plan for the future. It shows you lots of examples and explains things well. It also helps you with managing outside services. The book is all about making your test suite better and easier to take care of.

Author: Dima Kovalenko

7. “Hands-On Design Patterns with C++”

This book is really good for programmers who want to make robust and useful apps. You will learn important patterns in C++ to create better applications. You will also learn how to solve common design challenges. You will understand the things that C++ cannot do and learn how to fix them using design techniques.

Author: Fedor G. Pikus

8. “Adaptive Code”: Agile coding with design patterns and SOLID principles by Gary McLean Hall

Adaptive code is for people who write computer programs. It has useful information for all kinds of programmers, no matter how much experience they have. It teaches helpful and practical things about:

• Design patterns
• SOLID principles
• Unit testing
• Refactoring

You’ll learn how to:

• Develop code that can handle required changes
• Plan for and improve adaptability
• Perform unit testing and refactoring
• Use techniques to make legacy code adaptive.
• Avoid anti-related patterns.

Author: Gary McLean Hall

9. “Machine Learning Design Patterns”: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa Lakshmanan, Sara Robinson & Michael Munn

This book written by 3 Google engineers. This book explains 30 different ways to represent and solve problems with data. It tells you how to make your solutions repeatable, explainable, and fair. Each way includes a problem description, different possible solutions, and suggestions for picking the best one for your situation.

You’ll learn how to:

• Identify and mitigate common challenges when training, evaluating, and deploying ML models.
• Represent data for different ML model types, including embeddings, feature crosses, and more.
• Choose the right model type for specific problems.
• Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning.
• Deploy scalable ML systems that you can retrain and update to reflect new data.
• Interpret model predictions for stakeholders and ensure models are treating users fairly.

Author: Valliappa Lakshmanan, Sara Robinson & Michael Munn

10. Hands-On Design Patterns with Delphi: Build applications using idiomatic, extensible, and concurrent design patterns in Delphi

This book for beginner Delphi developers who want to build scalable, robust applications. Using real-world examples, you’ll explore various design patterns. Next, you will learn about software development mistakes, you’ll learn some of the most important patterns for various behavioral and structural types and also learn about concurrency patterns.

Author: Primož Gabrijelčič