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)
16
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17
Index

Building sets – literals, adding, comprehensions, and operators

If we've decided to create a collection based on only an item being present—a set —we have several ways of building this structure. Because of the narrow focus of sets, there's no ordering to the items – no relative positions – and no concept of duplication. We'll look at a number of ways we can assemble a set collection from individual items.

In some cases, we'll need a set because it prevents duplicate values. It's common to summarize data by reducing a large collection to a set of distinct items. An interesting use of sets is for locating repeated items when examining a connected graph. We often think of the directories in the filesystem forming a tree from the root directory through a path of directories to a particular file. Because there are links in the filesystem, the path is not a simple directed tree, but can have cycles. It can be necessary...