Architecture Patterns with Python : Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices
معرفی کتاب «Architecture Patterns with Python : Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices» نوشتهٔ Harry J.W. Percival, Bob Gregory، منتشرشده توسط نشر O'Reilly Media در سال 2020. این کتاب در فرمت epub، زبان انگلیسی ارائه شده است. «Architecture Patterns with Python : Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices» در دستهٔ بدون دستهبندی قرار دارد.
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 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 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 aggregatesRepository and Unit of Work patterns for persistent storageEvents, commands, and the message busCommand-query responsibility segregation (CQRS)Event-driven architecture and reactive microservices
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