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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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Toc

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

14.1 Combining two applications into one

For this recipe, we’ll look at two scripts that need to be combined. One script emits data from a Markov chain process, and the second script summarizes those results.

What’s important here is the Markov chain application is (intentionally) a bit mysterious. For the purposes of several recipes, we’ll treat this as opaque software, possibly written in another language.

(The GitHub repository for this book has the Markov chain written in Pascal to be reasonably opaque.)

For reference, here’s a depiction of the Markov chain state changes:

SSFGp””””””tuaro00000nacioi.....orclwn21610tteUt21668en21773(dte””””—faist0ila.lb1 o(l1rpi1oshpine—otd0i).n1t3)”9 ”

Figure 14.1: Markov chain states

The Start state will either succeed, fail, or generate a ”point” value. There are a number of values, each with distinct probabilities that sum to P = 0.667. The GrowUntil state generates values that may match the point, not match the point, or indicate failure...

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