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Key benefits

Master essential design principles to build robust software architecture with the latest features in Python 3.10

Leverage concurrency, async patterns, and testing strategies for optimal performance

Apply SOLID principles and advanced patterns to real-world Python projects

Purchase of the print or Kindle book includes a free PDF eBook

Description

As software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications. The book delves into design principles and patterns in Python, covering both classic and modern patterns, and apply them to solve daily challenges as a Python developer or architect. Co-authored by two Python experts with a combined experience of three decades, this new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll find out how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient. By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications.

Who is this book for?

With a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.

What you will learn

Master fundamental design principles and SOLID concepts

Become familiar with Gang of Four (GoF) patterns and apply them effectively in Python

Explore architectural design patterns to architect robust systems

Delve into concurrency and performance patterns for optimized code

Discover distributed systems patterns for scalable applications

Get up to speed with testing patterns to ensure code reliability and maintainability

Develop modular, decoupled systems and manage dependencies efficiently

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Eli Aug 20, 2024

So.. there's a lot to dislike about this book. And I want to preface this by asking people to read the other reviews because my gut tells me the author got their friends to positively review the book for them. But let's start with some generalities:The examples in the book are really weak. They're not reminiscent of a real programing problem and look like toy examples.The book is also light on the pros and cons of the approach and what to do in the case of failure. For the Distributed Patterns sections, Circuit Breaker, Retry, and Throttling are easy to implement. Show me in a production setting where these fail what you might do next. The SOLID chapter is a great example: the book doesn't go into the arguments for and against using the principles and where you should apply them theoretically. SOLID has undergone a lot of scrutiny in the past decade and these arguments should be included if you want to have a solid grasp of good software engineering in Python.Overall, the book looks like it was churned out very quickly and should have provided more production use cases with code examples. Otherwise, you can just look at the docs or even a Medium article to get better idea of the principles.

Amazon Verified review

Kindle Customer Jul 22, 2024

I picked up this book to brush up on my Python skills. I am glad I did this book goes well beyond just learning the language. It explains the basics of software development using Python and really good for someone who cut their teeth on an object-oriented programming language such as C# or Java. I highly recommend this book!

Amazon Verified review

Jorge Deflon Jul 16, 2024

I am currently reading with interest the book "Mastering Python Design Patterns" by Kamon Ayeva, and so far, it has been an enriching experience. It clearly explains various design patterns, making them accessible even to those who are new to these concepts.I appreciate how each pattern is illustrated with practical examples that are easy to follow and understand.Recommended for developers and architects who use or understand this cute programming language.

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Mystery Shopper Jul 15, 2024

Mastering Python Design Patterns" by Kamon Ayeva and Sakis Kasampalis is a comprehensive guide that offers in-depth coverage of various design patterns in the context of Python programming. The book is structured to provide both theoretical insights and practical applications, making it an invaluable resource for developers aiming to enhance their software design skills. The book begins with an introduction to design patterns, explaining their importance in software development and how they can be used to solve common design problems. It covers a wide range of patterns, including creational, structural, and behavioral patterns. Each pattern is thoroughly explained with detailed descriptions, UML diagrams, and Python code examples. One of the major advantages of this book is its practical approach. Each design pattern is accompanied by clear and concise code examples that demonstrate how the pattern can be implemented in Python. For instance, the Singleton pattern is explained with a step-by-step example showing how to ensure a class has only one instance and provide a global point of access to it. Similarly, the Strategy pattern is illustrated with a real-world example of how different algorithms can be selected at runtime. The book also addresses common pitfalls and best practices, providing valuable insights into the effective use of design patterns in Python. It discusses the trade-offs associated with each pattern, helping readers make informed decisions about when and how to use them.While the material is dense and may require multiple readings to fully grasp, the book is well-structured and organized, making it accessible to both novice and experienced developers. Some prior knowledge of Python and general programming concepts is assumed, which might be challenging for absolute beginners. However, for those with some programming experience, the book serves as an excellent reference and learning tool.

Amazon Verified review

Jaya Jul 15, 2024

“Mastering Python Design Patterns" by Kamon Ayeva and Sakis Kasampalis is an essential resource for Python developers looking to improve their design skills. The book brilliantly balances theory and practice, offering clear explanations and practical code examples for a wide range of design patterns. Each pattern is presented with UML diagrams and Python implementations, making complex concepts easy to understand and apply. Despite its advanced content, the book is accessible and well-organized, making it an invaluable guide for both novice and experienced developers aiming to enhance their software design expertise."

Amazon Verified review

Mastering Python Design Patterns: Craft essential Python patterns by following core design principles , Third Edition

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