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This book is a practical guide to software architecture principles applied using idiomatic Python.
Its Core Focus: The book's primary goal is to help developers manage complexity in growing Python applications by introducing proven, enterprise-level design patterns that are often more common in Java or C# ecosystems.
Key Architectural Concepts Covered:
Domain-Driven Design (DDD): It shows how to build a clean, pure domain model (using Python dataclasses for Entities and Value Objects) that contains all the core business logic, entirely decoupled from infrastructure.
Decoupling Patterns: It dives into the Repository and Unit of Work patterns to abstract the database persistence layer, ensuring the domain model never has direct knowledge of the ORM (like SQLAlchemy).
Hexagonal/Clean Architecture (Ports and Adapters): The authors emphasize the Dependency Inversion Principle, structuring the application so that the "core" (domain and service layers) is protected from the "edges" (APIs, databases, message queues), making the system highly testable and flexible.
Event-Driven Architecture: The second half of the book introduces the Message Bus and Events (including CQRS concepts) as a powerful mechanism for internal control flow and communication, which can eventually scale to reactive microservices.
Who Should Read This Book??
This is an essential read for Python developers who are moving beyond simple CRUD apps and are struggling to test, maintain, or evolve medium-to-large-scale systems. If you want to understand how to structure your code to support robust Test-Driven Development (TDD) and ensure your application remains flexible to future infrastructure changes, this book provides a definitive, hands-on roadmap. N° de ref. del artículo ABE-1761039848954
As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn't always straightforward.
With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity--and get the most value out of their test suites.
Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include:
Acerca del autor: After an idyllic childhood spent playing with BASIC on French 8-bit computers like the Thomson T-07 whose keys go "boop" when you press them, Harry Percival spent a few years being deeply unhappy as a management consultant. Soon he rediscovered his true geek nature, and was lucky enough to fall in with a bunch of XP fanatics, working on the pioneering but sadly defunct Resolver One spreadsheet. He worked at PythonAnywhere LLP, spreading the gospel of TDD world-wide at talks, workshops and conferences. He is now with MADE.COM. Bob Gregory is a UK-based software architect with MADE.COM. He has been building event driven systems with domain-driven design for more than a decade.
Título: Architecture Patterns with Python: Enabling ...
Editorial: O'Reilly Media, USA
Año de publicación: 2020
Encuadernación: Encuadernación de tapa blanda
Condición: Excelente
Edición: 1ª Edición
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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