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

Concurrent futures – high-level concurrent processing


The concurrent.futures module provides high-level concurrent processing using either threads or processes, while asynchronously returning data using future objects.

It provides an executor interface which exposes mainly two methods, which are as follows:

  • submit: Submits a callable to be executed asynchronously, returning a future object representing the execution of the callable.

  • map: Maps a callable to a set of iterables, scheduling the execution asynchronously in the future object. However, this method returns the results of processing directly instead of returning a list of futures.

There are two concrete implementations of the executor interface: ThreadPoolExecutor executes the callable in a pool of threads, and ProcessPoolExecutor does so in a pool of processes.

Here is a simple example of a future object that calculates the factorial of a set of integers asynchronously:

from concurrent.futures import ThreadPoolExecutor, as_completed...