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

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.

"1140570882"
Python Architecture Patterns: Master API design, event-driven structures, and package management in Python

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.

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

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

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

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

by Jaime Buelta

eBook

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Overview

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.


Product Details

ISBN-13: 9781801811774
Publisher: Packt Publishing
Publication date: 01/12/2022
Sold by: Barnes & Noble
Format: eBook
Pages: 594
File size: 10 MB

About the Author

Jaime Buelta is a Software Architect who has been a professional programmer since 2002 and a Python enthusiast since 2010. He has developed software for a variety of fields, focusing, in the last 10 years, on developing web services in Python in the gaming, finance and education industries. He is a strong proponent of automating everything to make computers do most of the heavy lifting, so humans can focus on the important stuff. He published his first book, "Python Automation Cookbook", in 2018 (recently with an extended second edition), followed a year later by "Hands-On Docker for Microservices with Python" describing how to migrate to a microservice architecture. He is currently living in Dublin, Ireland, and is a regular speaker at PyCon Ireland.
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