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Modular Programming with Python

You're reading from   Modular Programming with Python Introducing modular techniques for building sophisticated programs using Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785884481
Length 246 pages
Edition 1st Edition
Languages
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Table of Contents (11) Chapters Close

Preface 1. Introducing Modular Programming 2. Writing Your First Modular Program FREE CHAPTER 3. Using Modules and Packages 4. Using Modules for Real-World Programming 5. Working with Module Patterns 6. Creating Reusable Modules 7. Advanced Module Techniques 8. Testing and Deploying Modules 9. Modular Programming as a Foundation for Good Programming Technique Index

Divide and conquer

Divide and conquer is the process of breaking a problem down into smaller parts. You might not know how to solve a particular problem, but by breaking it down into smaller parts, you can then solve each part in turn, which then solves the original problem.

This is a very general technique, of course, and doesn't just apply to the use of modules and packages. However, modular programming helps you work through the divide and conquer process: as you break your problem down, you discover that you'll need a part of your program which performs a given task or range of tasks, and Python modules (and packages) are the perfect way of organizing those tasks.

We have done this several times already in this book. For example, when faced with the challenge of creating a chart-generation library, we used the divide and conquer technique to come up with the notion of a renderer that could draw a single chart element. We then realized that we would need several different renderers...

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