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 25. Other Creational Patterns

In the previous chapter, we covered a third creational pattern, that is, builder, which offers a nice way of creating the various parts of a complex object. Besides the factory method, the abstract factory, and the builder patterns covered so far, there are other creational patterns that are interesting to discuss, such as the prototype pattern and the singleton pattern.

What is the prototype pattern? The prototype pattern is useful when one needs to create objects based on an existing object by using a cloning technique.

As you may have guessed, the idea is to use a copy of that object's complete structure to produce the new object. We will see that this is almost natural in Python because we have a copy feature that helps greatly in using this technique.

What is the singleton pattern? The singleton pattern offers a way to implement a class from which you can only create one object, hence the name singleton. As you will understand with our exploration...