Book Image

Modern Python Cookbook - Second Edition

By : Steven F. Lott
Book Image

Modern Python Cookbook - Second Edition

By: Steven F. Lott

Overview of this book

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand. This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications. The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it. By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.
Table of Contents (18 chapters)
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Designing classes with lots of processing

Some of the time, an object will contain all of the data that defines its internal state. There are cases, however, where a class doesn't hold the data, but instead is designed to consolidate processing for data held in separate containers.

Some prime examples of this design are statistical algorithms, which are often outside the data being analyzed. The data might be in a built-in list or Counter object; the processing defined in a class separate from the data container.

In Python, we have to make a design choice between a module and a class. A number of related operations can be implemented using a module with many functions. See Chapter 3, Function Definitions, for more information on this.

A class definition can be an alternative to a module with a number of functions. How can we design a class that makes use of Python's sophisticated built-in collections as separate objects?

Getting ready

In Chapter 4, Built...