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:
- 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.
This open book is licensed under a Creative Commons License (CC BY-NC-ND). Free download in PDF format is not available. You can read Architecture Patterns with Python book online for free.
Table of Contents
Building an Architecture to Support Domain Modeling
A Brief Interlude: On Coupling and Abstractions
Our First Use Case: Flask API and Service Layer
TDD in High Gear and Low Gear
Unit of Work Pattern
Aggregates and Consistency Boundaries
Events and the Message Bus
Going to Town on the Message Bus
Commands and Command Handler
Event-Driven Architecture: Using Events to Integrate Microservices
Command-Query Responsibility Segregation (CQRS)
Dependency Injection (and Bootstrapping)