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

Combining two applications into one

In the Designing scripts for composition recipe in Chapter 13, Application Integration: Configuration, we looked at a simple application that creates a collection of statistics by simulating a process. In the Using logging for control and audit output recipe in Chapter 13, Application Integration: Configuration, we looked at an application that summarizes a collection of statistics. In this recipe, we'll combine the separate simulation and summarizing applications to create a single, composite application that performs both a simulation and summarizes the resulting data.

There are several common approaches to combining multiple applications:

  • A shell script can run the simulator and then run the summary.
  • A Python program can stand in for the shell script and use the runpy module to run each program.
  • We can build a composite application from the essential components of each application.

In the Designing scripts...