The Python collections module builds on many of the container data types available in Python. By providing efficient and intuitive classes and functions, the collections module extends the many different Python data types. While lists, dictionaries, and strings are highly customizable, the collections module is meant to enhance these data types. By diving into the […]
Python collections Module: Special Container Types Read More »
Building custom strings allows you to define powerful programs. You can easily build new strings that have custom behavior or new functionalities, which build on top of regular Python strings. In this tutorial, you’ll learn how to use the Python collections UserDict class to create custom dictionaries. You’ll also learn how to build your own
Python UserString – Custom Python Strings with collections Read More »
Building custom lists allows you to define powerful programs, by extending on the functionality of normal Python lists. You can easily build new lists that have custom behavior or new functionalities, which build on top of regular Python lists. In this tutorial, you’ll learn how to use the Python collections UserList class to create custom
Python UserList – Custom Python Lists with collections Read More »
Building custom dictionaries allows you to define powerful programs. You can easily build new dictionaries that have custom behavior or new functionalities, which build on top of regular Python dictionaries. In this tutorial, you’ll learn how to use the Python collections UserDict class to create custom dictionaries. You’ll also learn how to build your own
Python UserDict – Custom Python Dictionaries with collections Read More »
The Python collections module provides Python’s implementations of chain maps with the ChainMaps class. This allows you to implement multiple dictionaries in the same context. This means that you can maintain multiple dictionaries, but access them as though they were a single dictionary. In this tutorial, you’ll learn how to use the ChainMap class from
Collections ChainMaps in Python: Complete Guide Read More »
Python OrderedDicts are dictionary subclasses that maintain the order of the items added to them. Since Python 3.6, dictionaries in Python have maintained order. So this begs the question, why do we still need the OrderedDict class from the Python collections module? By the end of this tutorial, you’ll have gained a strong understanding of
Python Collections OrderedDict: Adding Order to Dictionaries Read More »
Double-ended queues, or deques, are available in Python as part of the collections module. At first glance, that sentence may have had a lot of words and concepts in them that may not be immediately clear. If that’s the case, don’t worry! By the end of this tutorial, you’ll be a pro at deques and
Python Collections deque – Stacks and Queues Read More »
In this tutorial, you’ll learn how to use the Python Counter class from the collections module to count items. The Counter class provides an incredibly pythonic method to count items in lists, tuples, strings, and more. Because counting items is a common task in programming, being able to do this easily and elegantly is a
Python’s Counter: Count Items with Collections Counter Read More »
The Python collections module provides a helpful factory function, namedtuple, which allows you to create named tuples in Python. The idea behind named tuples is to make working with tuples more pythonic by allowing you to access data in the tuple using their label, rather than their index position. The named tuple extends the Python
How to Use Python Named Tuples Read More »
In this tutorial, you’ll learn about the Python defaultdict objects, which is part of the collections library. The object overrides the default dictionary behavior of throwing a KeyError when you try to access a key that doesn’t exist. You’ll get a complete overview of the defaultdict and how it’s different from the regular Python dictionary.
Python Defaultdict: Overview and Examples Read More »
