Book Image

Advanced Python Programming

By : Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis
Book Image

Advanced Python Programming

By: Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

Overview of this book

This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: • Python High Performance - Second Edition by Gabriele Lanaro • Mastering Concurrency in Python by Quan Nguyen • Mastering Python Design Patterns by Sakis Kasampalis
Table of Contents (41 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Chapter 28. The Bridge Pattern

In the previous two chapters, we covered our first structural pattern, adapter, which is used to make two incompatible interfaces compatible, and decorator, which allows us to add responsibilities to an object in a dynamic way. There are more similar patterns. Let's continue with the series!

A third structural pattern to look at is the bridge pattern. We can actually compare the bridge and the adapter patterns, looking at the way both work. While adapter is used later to make unrelated classes work together, as we saw in the implementation example we discussed in Chapter 26The Adapter Pattern, the bridge pattern is designed up-front to decouple an implementation from its abstraction, as we are going to see.

In this chapter, we will discuss:

  • Real-world examples
  • Use cases
  • Implementation