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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Wrapping a program and checking the output

One common kind of automation involves running several programs, none of which are actually Python applications. In this case, it's impossible to refactor the programs to create a composite Python application. In order to properly aggregate the functionality, the other programs must be wrapped as a Python class or module to provide a higher-level construct.

The use case for this is very similar to the use case for writing a shell script. The difference is that Python can be a better programming language than the OS's built-in shell languages.

In some cases, the advantage Python offers is the ability to perform detailed aggregation and analysis of the output files. A Python program might transform, filter, or summarize the output from a subprocess.

In this recipe, we'll see how to run other applications from within Python, collecting and processing the other applications' output.

Getting ready