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Architecture Patterns with Python

De (autor): Bob Gregory , Harry J.W. Percival

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Architecture Patterns with Python - Harry J.W. Percival, Bob Gregory

Architecture Patterns with Python

De (autor): Bob Gregory , Harry J.W. Percival

0
(0 review-uri)
 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
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 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
Citeste mai mult

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