Book Image

Modern Python Cookbook

Book Image

Modern Python Cookbook

Overview of this book

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand. This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language. The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks. The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and command-line options, automated unit tests, and good documentation.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chaining exceptions with the raise from statement


In some cases, we may want to merge some seemingly unrelated exceptions into a single generic exception. It's common for a complex module to define a single generic Error exception which applies to many situations that can arise within the module.

Most of the time, the generic exception is all that's required. If the module's Error is raised, something didn't work.

Less frequently, we want the details for debugging or monitoring purposes. We might want to write them to a log, or include the details in an e-mail. In this case, we need to provide supporting details that amplify or extend the generic exception. We can do this by chaining from the generic exception to the root cause exception.

Getting ready

Assume we're writing some complex string processing. We'd like to treat a number of different kinds of detailed exceptions as a single generic error so that users of our software are insulated from the implementation details. We can attach details...