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Key benefits

Learn how to create scalable and maintainable applications

Build a web system for micro messaging using concepts in the book

Use profiling to find bottlenecks and improve the speed of the system

Description

Developing large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented. Software developers, architects, and technical management teams rely on high-level software design patterns such as microservices architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD) to make their work easier. This book covers these proven architecture design patterns with a forward-looking approach to help Python developers manage application complexity—and get the most value out of their test suites. Starting with the initial stages of design, you will learn about the main blocks and mental flow to use at the start of a project. The book covers various architectural patterns like microservices, web services, and event-driven structures and how to choose the one best suited to your project. Establishing a foundation of required concepts, you will progress into development, debugging, and testing to produce high-quality code that is ready for deployment. You will learn about ongoing operations on how to continue the task after the system is deployed to end users, as the software development lifecycle is never finished. By the end of this Python book, you will have developed "architectural thinking": a different way of approaching software design, including making changes to ongoing systems.

Who is this book for?

This book will help software developers and architects understand the structure of large complex systems and adopt architectural patterns that are scalable. Examples in the book are implemented in Python so a fair grasp of basic Python concepts is expected. Proficiency in any programming languages such as Java or JavaScript is sufficient.

What you will learn

Think like an architect, analyzing software architecture patterns

Explore API design, data storage, and data representation methods

Investigate the nuances of common architectural structures

Utilize and interoperate elements of patterns such as microservices

Implement test-driven development to perform quality code testing

Recognize chunks of code that can be restructured as packages

Maintain backward compatibility and deploy iterative changes

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Amazon verified reviews

Darragh Hanley Feb 04, 2022

As a data scientist I have been exposed more to productionizing code more within the past couple of yours. There is a lot to learn and I found this book a great help to understand best practises and what is available. The book covers a lot of areas and dives deep into concepts however I find the build up in explaining topics and the examples given are very accessible, even for someone like me who is not from a software engineering background.I've covered the first three chapters of part IV so far, logging, metrics and profiling and am already bring them into my day to day work. would definitely recommend to anyone trying to up their game in developing production ready code.

Amazon Verified review

Alfredo Jan 12, 2022

This book has some advanced topics yet it is a good book for the not so advanced how ever you should be “conformable reading” Python. The book provides a link to not only some code but also downloadable screenshots and diagrams that are used in the book. Of course, it takes a practical approach to coding not just for now, but give thought as to allow for future growth of the programs. It also gives though to defining the structure of the code but also the security aspects of the software architecture.

Neels B Aug 31, 2022

python architecture patterns is an excellent book that covers different aspects of software architecture and delves deeper into several other related concepts (design philosophy, architectural patterns, design implementation and testing, verification and validation) in great details mostly targeting web services. The impressive things about the book is the practicality and relevance it brings to the understanding today's architecture of complex systems. The author also suggests various tools and techniques to achieve this. There is also a lot of code samples to complement the learning and strengthen the underlying concepts. I enjoyed reading the section about Twelve-Factor App methodology, that provides some recommendations that are well proven for web services. These are definitely useful knowledge that can be applied to other areas to improve efficiency in the design cycle of any product/service.I would highly recommend this book to any software developer who like to get a detailed understanding of the challenges of designing complex systems and how to approach it with the tools provided in the book.

James R Jan 24, 2022

The approach of this book is something I have been wanting to see for some time. It is ideal for engineering students that are expected to solve physical tasks. It is not flooded with warehouse or payroll examples that do not apply in most engineering cases.Excellent reference book for not only Python learning, but coding in general.

Sahil Gupta Sep 25, 2022

Great book for a deeper understanding than quick google searches.

Python Architecture Patterns: Master API design, event-driven structures, and package management in Python

What do you get with eBook?