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

Wrapping and combining CLI applications

One common kind of automation involves running several programs, none of which are Python applications. Since the programs aren't written in Python, it's impossible to refactor each program to create a composite Python application. When using a non-Python application, we can't follow the Combining two applications into one recipe shown earlier in this chapter.

Instead of aggregating the Python components, an alternative is to wrap the other programs in Python, creating a composite application. The use case is very similar to the use case for writing a shell script. The difference is that Python is used instead of a shell language. Using Python has some advantages:

  • Python has a rich collection of data structures. Most shell languages are limited to strings and arrays of strings.
  • Python has several outstanding unit test frameworks. Rigorous unit testing gives us confidence that the combined application...