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

Summary


In this chapter, we have learned how to use the facade pattern. This pattern is ideal for providing a simple interface to client code that wants to use a complex system but does not need to be aware of the system's complexity. A computer is a facade since all we need to do to use it is press a single button for turning it on. All the rest of the hardware complexity is handled transparently by the BIOS, the boot loader, and the other components of the system software. There are more real-life examples of facade, such as when we are connected to the customer service department of a bank or a company, and the keys that we use to turn a vehicle on.

We discussed a Django third-party module that uses Facade: django-oscar-datacash. It uses the facade pattern to provide a simple DataCash API and the ability to save transactions.

We covered the basic use cases of facade and ended the chapter with an implementation of the interface used by a multiserver operating system. A facade is an elegant...