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Craft clean architectures in Python

The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing. The main point of the clean architecture is to make clear "what is where and why", and this should be your first concern while you design and implement a software system, whatever architecture or development methodology you want to follow.

In Chapters 4 and 5 of Clean Architectures in Python, Leonardo Giordani provides an overview of the components of good software architecture.

A clean architecture is a layered architecture, which means that the various elements of your system are categorized and have a specific place where to be, according to the category you assigned them. A clean architecture is also a spherical architecture, with inner (lower) layers completely encompassed by outer (higher) ones, and the former layers being oblivious of the existence of the latter layers. In Chapter 4, you'll learn about about the main architectural layers and data flow. In Chapter 5, Leonardo provides a complete, fully-tested example architecture, illustrating the layered approach.

Clean Architectures in Python

What is a good software architecture? Why should we bother structuring the code and spending time testing it? If you like spending hours debugging your programs or staying late at the office to recover from a buggy deploy in production this book is definitely NOT for you!

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