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
About Packt


In this chapter, we have seen how to use two other creational design patterns: the prototype and the singleton.

A prototype is used for creating exact copies of objects. In the general case of creating a copy of an object, what happens is that you make a new reference to the same object, a method called a shallow copy. But, if you need to duplicate the object, which is the case with a prototype, you make a deep copy.

As seen in the implementation example we discussed, using a prototype in Python is natural and based on built-in features, so it is not something even mentioned.

The singleton pattern can be implemented by making the singleton class use a metaclass, its type, having previously defined the said metaclass. As required, the metaclass's __call__() method holds the code that ensures that only one instance of the class can be created.

The next chapter is about the adapter pattern, a structural design pattern that can be used to make two incompatible software interfaces compatible...