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

The creation of a new package

In any software, there will be snippets of code that could be shared across different parts of the code. When working with small, monolithic applications, this can be as easy as creating some internal modules or functions that can share functionality by calling it directly.

Over time, this common function or functions could be grouped together under a module to clarify that they are to be used across the application.

Avoid the temptation to use the name utils for a module with code expected to be used in different positions. While this is very common, it is also not very descriptive and a bit lazy. How does someone know if a function is in the utils module? Instead of that, try to use a descriptive name.

If it's not possible, divide it into submodules, so you can create something like utils.communication or utils.math to avoid this effect.

This will work fine up to a certain size. Some of the problems that can arise...