Introductory tutorial for deep and shallow copying: 10 recommended zero-based introductory tutorials for deep and shallow copying

The collection module is an extension of Python's general built-in containers: dictionaries, lists, tuples and sets. It contains some professional container data types: Counter (counter): dict subclass, used to calculate hashability objects number. OrderedDict (ordered dictionary): dict subclass, recording the order in which data members are added. defaultdict (default dictionary): A dict subclass that calls a factory function to provide a default value for missing dict values. namedtuple (named tuple): The factory function generates a tuple subclass with named fields. deque (two-way queue): A function that can quickly dequeue and join the queue at both ends of the "queue", similar to a queue (list-like) container. ChainMap: A dictionary-like type that creates a single view for multiple maps. UserDict: Wrapping a dictionary makes it easier to create subclasses of dictionaries. UserList: Wrapping list objects makes it easier to create subclasses of lists. UserString: Wrapping string objects makes it easier to create subclasses of strings

1. In-depth understanding of the Python collection module and deep and shallow copies

Introduction: This article introduces an in-depth understanding of the Python collection module and deep and shallow copy

[Related Q&A recommendations] ：

javascript - Reference object assignment depth copy jquery.extend

objective-c - iOS depth copy?

The above is the detailed content of Introductory tutorial for deep and shallow copying: 10 recommended zero-based introductory tutorials for deep and shallow copying. For more information, please follow other related articles on the PHP Chinese website!