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

Book Description

Make the best of your test suites by using cutting-edge software architecture patterns in Python

Key Features

• 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

Book 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.

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

Who this book is 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.

Table of Contents

1. Introduction to Software Architecture
2. API Design
3. Data Modeling
4. The Data Layer
5. The Twelve-Factor App Methodology
6. Web Server Structures
7. Event-Driven Structures
8. Advanced Event-Driven Structures
9. Microservices vs Monolith
10. Testing and TDD
11. Package Management
12. Logging
13. Metrics
14. Profiling
15. Debugging
16. Ongoing Architecture

中文：

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

在Python中使用尖端软件体系结构模式，充分利用您的测试套件

Key Features

• Learn how to create scalable and maintainable applications
• 使用书中的概念构建微消息的Web系统
• 使用性能分析来查找瓶颈并提高系统速度

图书描述

开发规模和复杂性不断增长的大型系统需要彻底了解软件项目应该如何实现。软件开发人员、架构师和技术管理团队依赖高级软件设计模式，如微服务体系结构、事件驱动体系结构和域驱动设计(DDD)规定的战略模式，以使他们的工作更轻松。

这本书介绍了这些久经考验的架构设计模式，并以前瞻性的方法帮助Python开发人员管理应用程序复杂性，并从他们的测试套件中获得最大价值。

从设计的初始阶段开始，您将学习在项目开始时使用的主要模块和心理流。这本书涵盖了各种架构模式，如微服务、Web服务和事件驱动结构，以及如何选择最适合您的项目的架构模式。建立所需概念的基础后，您将进入开发、调试和测试阶段，以生成可供部署的高质量代码。您将了解在将系统部署给最终用户后如何继续执行任务的持续操作，因为软件开发生命周期永远不会结束。

到本书结束时，您将开发出架构思维：一种处理软件设计的不同方法，包括对正在进行的系统进行更改。

What you will learn

• 像架构师一样思考，分析软件体系结构模式
• 探索API设计、数据存储和数据表示方法
• Investigate the nuances of common architectural structures
• 利用和互操作微服务等模式元素
• 实施测试驱动开发以执行质量代码测试
• 识别可以被重构为包的代码块
• 维护向后兼容性并部署迭代更改

Who this book is for

本书将帮助软件开发人员和架构师了解大型复杂系统的结构，并采用可伸缩的体系结构模式。本书中的示例是用Python语言实现的，因此可以很好地掌握基本的Python语言概念。精通任何编程语言，如Java或JavaScript就足够了。

目录表

1. 软件体系结构简介
2. API Design
3. 数据建模
4. 数据层
5. 十二要素应用方法论
6. Web Server Structures
7. 事件驱动的结构
8. 高级事件驱动结构
9. 微服务VS Monolith
10. 测试和TDD
11. Package Management
12. Logging
13. Metrics
14. Profiling
15. Debugging
16. Ongoing Architecture