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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

Implementing the inventory control system

Now that we have a good idea of the overall structure for our system, what our various modules will be, and what functionality they will provide, it's time for us to start implementing the system. Let's start with the data storage module.

Implementing the data storage module

Create a directory somewhere convenient where you can store the source code for the inventory control system. You might want to call this directory inventoryControl or something similar.

Inside this directory, we will place our various modules and files. Start by creating a new, empty Python source file named datastorage.py. This Python source file will hold our data storage module.

Note

When selecting the name for our modules, we are following the Python convention of using all lowercase letters. You might find this a bit awkward at first, but it soon becomes easy to read. Please refer to https://www.python.org/dev/peps/pep-0008/#package-and-module-names for more information...

You have been reading a chapter from
Modular Programming with Python
Published in: May 2016
Publisher: Packt
ISBN-13: 9781785884481
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