logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Architecture Patterns With Python Bob Gregory Harry Percival Gregory

  • SKU: BELL-31371744
Architecture Patterns With Python Bob Gregory Harry Percival Gregory
$ 31.00 $ 45.00 (-31%)

4.0

76 reviews

Architecture Patterns With Python Bob Gregory Harry Percival Gregory instant download after payment.

Publisher: O'Reilly Media, Inc.
File Extension: EPUB
File size: 3 MB
Author: Bob Gregory & Harry Percival [Gregory, Bob & Percival, Harry]
Language: English
Year: 2020

Product desciption

Architecture Patterns With Python Bob Gregory Harry Percival Gregory by Bob Gregory & Harry Percival [gregory, Bob & Percival, Harry] instant download after payment.

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 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

Related Products