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Mastering Python Design Patterns

Mastering Python Design Patterns

By : Sakis Kasampalis
3.6 (5)
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Mastering Python Design Patterns

Mastering Python Design Patterns

3.6 (5)
By: Sakis Kasampalis

Overview of this book

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.
Table of Contents (18 chapters)
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1
1. The Factory Pattern
17
Index

A software example

Python's sorted() and list.sort() functions are examples of the Strategy pattern. Both functions accept a named parameter key, which is basically the name of the function that implements a sorting Strategy [Eckel08, page 202].

The following example (the code is in the langs.py file) shows how two different strategies can be used to sort programming languages in the following ways:

  • Alphabetically
  • Based on their popularity (using the TIOBE index [j.mp/tiobe14])

A namedtuple programming language [j.mp/namedtuple] is used to keep the statistics of the programming languages. A named tuple is an easy-to-create, lightweight, immutable object type. It is compatible with a normal tuple but it can also be treated as an object (can be called by name, using the usual class notation). A named tuple can be used [j.mp/sonamed]:

  • Instead of a class when we want to focus on immutability
  • Instead of a tuple, when it makes sense to use the object notation to create more readable code

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