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Mastering Python Design Patterns

By : Sakis Kasampalis

3.6 (5)

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.

Preface

Design patterns

Common misunderstandings about design patterns

Design patterns and Python

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. The Factory Pattern

1. The Factory Pattern

Factory Method

Abstract Factory

Summary

2. The Builder Pattern

2. The Builder Pattern

A real-life example

A software example

Use cases

Implementation

Summary

3. The Prototype Pattern

3. The Prototype Pattern

A real-life example

A software example

Use cases

Implementation

Summary

4. The Adapter Pattern

4. The Adapter Pattern

A real-life example

A software example

Use cases

Implementation

Summary

5. The Decorator Pattern

5. The Decorator Pattern

A real-life example

A software example

Use cases

Implementation

Summary

6. The Facade Pattern

6. The Facade Pattern

A real-life example

A software example

Use cases

Implementation

Summary

7. The Flyweight Pattern

7. The Flyweight Pattern

A real-life example

A software example

Use cases

Implementation

Summary

8. The Model-View-Controller Pattern

8. The Model-View-Controller Pattern

A real-life example

A software example

Use cases

Implementation

Summary

9. The Proxy Pattern

9. The Proxy Pattern

A real-life example

A software example

Use cases

Implementation

Summary

10. The Chain of Responsibility Pattern

10. The Chain of Responsibility Pattern

A real-life example

A software example

Use cases

Implementation

Summary

11. The Command Pattern

11. The Command Pattern

A real-life example

A software example

Use cases

Implementation

Summary

12. The Interpreter Pattern

12. The Interpreter Pattern

A real-life example

A software example

Use cases

Implementation

Summary

13. The Observer Pattern

13. The Observer Pattern

A real-life example

A software example

Use cases

Implementation

Summary

14. The State Pattern

14. The State Pattern

A real-life example

A software example

Use cases

Implementation

Summary

15. The Strategy Pattern

15. The Strategy Pattern

A real-life example

A software example

Use cases

Implementation

Summary

16. The Template Pattern

16. The Template Pattern

A real-life example

A software example

Use cases

Implementation

Summary

Index

Index

Implementation

Python decorators are generic and very powerful. You can find many examples of how they can be used at the decorator library of python.org [j.mp/pydeclib]. In this section, we will see how we can implement a memoization decorator [j.mp/memoi]. All recursive functions can benefit from memoization, so let's pick the popular Fibonacci sequence example. Implementing the recursive algorithm of Fibonacci is straight forward, but it has major performance issues, even for small values. First, let's see the naive implementation (file fibonacci_naive.py).

def fibonacci(n):
    assert(n >= 0), 'n must be >= 0'
    return n if n in (0, 1) else fibonacci(n-1) + fibonacci(n-2)

if __name__ == '__main__':
    from timeit import Timer
    t = Timer('fibonacci(8)', 'from __main__ import fibonacci')
    print(t.timeit())

A sample execution of this example shows how slow this implementation is. It takes 17 seconds to calculate the eighth...

CONTINUE READING

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Tech Concepts

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Programming languages

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