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

Implementation


Let's look at a relatively simple application to illustrate adaptation: a club's activities, mainly the need to organize performances and events for the entertainment of its clients, by hiring talented artists.

At the core, we have a Club class that represents the club where hired artists perform some evenings. The organize_performance() method is the main action that the club can perform. The code is as follows:

class Club: 
    def __init__(self, name): 
        self.name = name 

    def __str__(self): 
        return f'the club {self.name}' 

    def organize_event(self): 
        return 'hires an artist to perform for the people' 

Most of the time, our club hires a DJ to perform, but our application addresses the need to organize a diversity of performances, by a musician or music band, by a dancer, a one-man or one-woman show, and so on.

 

Via our research to try and reuse existing code, we find an open source contributed library that brings us two interesting classes: Musician...