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 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 isnt 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 designs 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 About the Author 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.
Bob Gregory is a UK-based software architect with MADE.
He has been building event driven systems with domain-driven design for more than a decade.
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