Harry Percival

Bob Gregory

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software architecture patterns such as hexagonal/clean architecture, event-driven architecture, and strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn't always straightforward. With this practical guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity. Each pattern is illustrated with concrete examples in idiomatic Python that explain how to avoid some of the unnecessary verbosity of Java and C# syntax. You'll learn how to implement each of these patterns in a Pythonic way. Architectural design patterns include: Dependency inversion, and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design's distinction between entities, value objects, and aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command Query Responsibility Segregation (CQRS) Event-driven architecture and reactive microservices

Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices

Architecture Patterns with Python

"Obey the testing goat: using Django, Selenium, and Javascript"--Cover.

Test-driven Development with Python

My main aim is to impart a methodology-a way of doing web development, which I think makes for better web apps and happier developers. There's not much point in a book that just covers material you could find by Googling, so this book isn't a guide to Python syntax, or a tutorial on web development per se. Instead, I hope to teach you how to use TDD to get more reliably to our shared, holy goal: clean code that works. With that said: I will constantly refer to a real practical example, by building a web app from scratch using tools like Django, Selenium, jQuery, and Mock. I'm not assuming any prior knowledge of any of these, so you should come out of the other end of this book with a decent introduction to those tools, as well as the discipline of TDD. In Extreme Programming we always pair-program, so I've imagined writing this book as if I was pairing with my previous self, having to explain how the tools work and answer questions about why we code in this particular way. So, if I ever take a bit of a patronising tone, it's because I'm not all that smart, and I have to be very patient with myself. And if I ever sound defensive, it's because I'm the kind of annoying person that systematically disagrees with whatever anyone else says, so sometimes it takes a lot of justifying to convince myself of anything

Obey the Testing Goat: Using Django, Selenium, and JavaScript

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software architecture patterns such as hexagonal/clean architecture, event-driven architecture, and strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn't always straightforward. With this practical guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity. Each pattern is illustrated with concrete examples in idiomatic Python that explain how to avoid some of the unnecessary verbosity of Java and C# syntax. You'll learn how to implement each of these patterns in a Pythonic way. Architectural design patterns include: Dependency inversion, and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design's distinction between entities, value objects, and aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command Query Responsibility Segregation (CQRS) Event-driven architecture and reactive microservices.

Harry Percival

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