Skip to Content
Clean Code in Python
book

Clean Code in Python

by Mariano Anaya
August 2018
Intermediate to advanced
332 pages
9h 12m
English
Packt Publishing
Content preview from Clean Code in Python

Types of descriptors

Based on the methods we have just explored, we can make an important distinction among descriptors in terms of how they work. Understanding this distinction plays an important role in working effectively with descriptors, and will also help to avoid caveats or common errors at runtime.

If a descriptor implements the __set__ or __delete__ methods, it is called a data descriptor. Otherwise, a descriptor that solely implements __get__ is a non-data descriptor. Notice that __set_name__ does not affect this classification at all.

When trying to resolve an attribute of an object, a data descriptor will always take precedence over the dictionary of the object, whereas a non-data descriptor will not. This means that in a non-data ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Clean Code in Python - Second Edition

Clean Code in Python - Second Edition

Mariano Anaya
Python for Programmers

Python for Programmers

Paul Deitel, Harvey Deitel

Publisher Resources

ISBN: 9781788835831Supplemental Content