Book Image

Software Architecture with Python

By : Anand Balachandran Pillai
Book Image

Software Architecture with Python

By: Anand Balachandran Pillai

Overview of this book

This book starts by explaining how Python fits into an application's architecture. As you move along, you will get to grips with architecturally significant demands and how to determine them. Later, you’ll gain a complete understanding of the different architectural quality requirements for building a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will also use various techniques such as incorporating DevOps, continuous integration, and more to make your application robust. You will discover when and when not to use object orientation in your applications, and design scalable applications. The focus is on building the business logic based on the business process documentation, and understanding which frameworks to use and when to use them. The book also covers some important patterns that should be taken into account while solving design problems, as well as those in relatively new domains such as the Cloud. By the end of this book, you will have understood the ins and outs of Python so that you can make critical design decisions that not just live up to but also surpassyour clients’ expectations.
Table of Contents (18 chapters)
Software Architecture with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
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...