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Software Architecture with Python

You're reading from   Software Architecture with Python Design and architect highly scalable, robust, clean, and high performance applications in Python

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786468529
Length 556 pages
Edition 1st Edition
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Concepts
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Author (1):
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Anand Balachandran Pillai Anand Balachandran Pillai
Author Profile Icon Anand Balachandran Pillai
Anand Balachandran Pillai
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Table of Contents (12) Chapters Close

Preface 1. Principles of Software Architecture FREE CHAPTER 2. Writing Modifiable and Readable Code 3. Testability – Writing Testable Code 4. Good Performance is Rewarding! 5. Writing Applications that Scale 6. Security – Writing Secure Code 7. Design Patterns in Python 8. Python – Architectural Patterns 9. Deploying Python Applications 10. Techniques for Debugging Index

Software deployment in Python


As mentioned earlier, Python developers are richly blessed in the various tools offered by Python, and its third-party ecosystem in easing and automating the deployment of applications and code written using Python.

In this section, we will briefly take a look at some of these tools.

Packaging Python code

Python comes with built in support for packaging applications for a variety of distributions—source, binary, and specific OS-level packaging.

The primary way of packaging source code in Python is to write a setup.py file. The source can then be packaged with the help of the in-built distutils library, or the more sophisticated and rich setuptools framework.

Before we get introduced to the guts of Python packaging, let us get familiar with a couple of closely related tools, namely, pip and virtualenv.

Pip

Pip stands for the recursive acronym Pip installs packages. Pip is the standard and suggested tool to install packages in Python.

We've seen pip in action throughout...

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