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Modern Python Cookbook

You're reading from   Modern Python Cookbook 130+ updated recipes for modern Python 3.12 with new techniques and tools

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835466384
Length 818 pages
Edition 3rd Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1 Numbers, Strings, and Tuples FREE CHAPTER 2. Chapter 2 Statements and Syntax 3. Chapter 3 Function Definitions 4. Chapter 4 Built-In Data Structures Part 1: Lists and Sets 5. Chapter 5 Built-In Data Structures Part 2: Dictionaries 6. Chapter 6 User Inputs and Outputs 7. Chapter 7 Basics of Classes and Objects 8. Chapter 8 More Advanced Class Design 9. Chapter 9 Functional Programming Features 10. Chapter 10 Working with Type Matching and Annotations 11. Chapter 11 Input/Output, Physical Format, and Logical Layout 12. Chapter 12 Graphics and Visualization with Jupyter Lab 13. Chapter 13 Application Integration: Configuration 14. Chapter 14 Application Integration: Combination 15. Chapter 15 Testing 16. Chapter 16 Dependencies and Virtual Environments 17. Chapter 17 Documentation and Style 18. Other Books You May Enjoy
19. Index

14.4 Wrapping and combining CLI applications

One common kind of automation involves running several programs, some of which are not Python applications. This commonly arises when integrating multiple tools, which are often applications used to build applications or documents. 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...

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