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Architecture Patterns with Python: Enabling Test-Driven Development,...
Architecture Patterns with Python: Enabling Test-Driven Development,...
Architecture Patterns with Python: Enabling Test-Driven Development,...
Architecture Patterns with Python: Enabling Test-Driven Development,...
Architecture Patterns with Python: Enabling Test-Driven Development,...
Architecture Patterns with Python: Enabling Test-Driven Development,...
Architecture Patterns with Python: Enabling Test-Driven Development,...

Architecture Patterns with Python: Enabling Test-Driven Development,...

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Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices\nProduct Details\n--New Store Stock\n\nAs 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 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) s

Architecture Patterns with Python: Enabling Test-Driven Development,...

Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices\nProduct Details\n--New Store Stock\n\nAs 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 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) s

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