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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

Local imports


In Chapter 3, Using Modules and Packages, we introduced the concept of a global namespace, and showed how the import statement adds the name of the imported module or package into the global namespace. This description was actually a slight oversimplification. In fact, the import statement adds the imported module or package to the current namespace, which may or may not be the global namespace.

In Python, there are two namespaces: the global namespace and the local namespace. The global namespace is where all the top-level definitions in your source file are stored. For example, consider the following Python module:

import random
import string

def set_length(length):
    global _length
    _length = length

def make_name():
    global _length

    letters = []
    for i in range(length):
        letters.append(random.choice(string.letters))
    return "".join(letters)

When you import this Python module, you will have added four entries to the global namespace: random, string...

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