Book Image

Python Architecture Patterns

By : Jaime Buelta
Book Image

Python Architecture Patterns

By: Jaime Buelta

Overview of this book

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.
Table of Contents (23 chapters)
2
Part I: Design
6
Part II: Architectural Patterns
12
Part III: Implementation
15
Part IV: Ongoing operations
21
Other Books You May Enjoy
22
Index

Summary

In this chapter, we described when it's a good idea to create a standard package and the caveats and requirements that we should add to be sure that we are taking a good decision. In essence, creating a new package is creating a new project, and we should give the proper ownership, documentation, and so on, as expected of other projects in the organization.

We described the simplest possible package in Python just by structuring code, but without creating a proper package. This acts as a baseline on how the code should be structured later.

We continued describing what the current packaging environment is and what are the different elements that are part of it, like PyPI, which is the official source for publicly available packages, and how to create virtual environments to not cross-contaminate different environments when requiring different dependencies. We also described the Wheel package, which will be the kind of package that we will create later.

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