We can summarize the concepts we have learned in the form of a cheat sheet like the one presented as follows. For each action in Python, the magic method involved is presented, along with the concept that it represents:

Statement	Magic Method	Behavior
`obj[key]` `obj[i:j]` `obj[i:j:k]`	`__getitem__(key)`	Subscriptable object
`with obj: ...`	`__enter__` / `__exit__`	Context manager
`for i in obj:` `...`	`__iter__` / `__next__` `__len__` / `__getitem__`	Iterable object Sequence
`obj.<attribute>`	`__getattr__`	Dynamic attribute retrieval
`obj(args, *kwargs)`	`__call__(args, *kwargs)`	Callable object

Preface

Introduction to Clean Code, Code Formatting, and Tools

Pythonic Code

General Traits of Good Code

The SOLID Principles

Using Decorators to Improve Our Code

Getting More Out of Our Objects with Descriptors

Generators, Iterators, and Asynchronous Programming

Unit Testing and Refactoring

Common Design Patterns

Clean Architecture

Conclusion

Summary of Magic Methods

Magic methods and their behaviour in Python