Separation of Concerns

Explore how separating concerns into small, cohesive components improves Python software architecture. Understand high cohesion, low coupling, and the design of modular, maintainable systems that simplify testing and enable independent deployment.

We'll cover the following...

Working with smaller functions
Components
Design of the code

Inside an application, there are multiple components. Their code is divided into other subcomponents, such as modules or packages, and the modules into classes or functions, and the classes into methods. Throughout the course, the emphasis has been on keeping these components as small as possible, particularly in the case of functions—functions should do one thing and be small.

Working with smaller functions

Several reasons were presented to justify this rationale. Small functions are easier to understand, follow, and debug. They are also easier to test. The smaller the pieces in our code, the easier it will be to write unit tests for it.

1.Preface

2.Introduction to Clean Code, Code Formatting, and Tools

3.Pythonic Code

4.General Traits of Good Code

5.The SOLID Principles

6.Using Decorators to Improve Our Code

7.Getting More Out of Our Objects with Descriptors

8.Generators, Iterators, and Asynchronous Programming

9.Unit Testing and Refactoring

10.Common Design Patterns

11.Clean Architecture

12.Conclusion

Separation of Concerns

Working with smaller functions