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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

Concurrency


A system's concurrency is the degree to which the system is able to perform work simultaneously instead of sequentially. An application written to be concurrent in general, can execute more units of work in a given time than one which is written to be sequential or serial.

When one makes a serial application concurrent, one makes the application better utilize the existing compute resources in the system—CPU and/or RAM—at a given time. Concurrency, in other words, is the cheapest way of making an application scale inside a machine in terms of the cost of compute resources.

Concurrency can be achieved using different techniques. The common ones include the following:

  1. Multithreading: The simplest form of concurrency is to rewrite the application to perform parallel tasks in different threads. A thread is the simplest sequence of programming instructions that can be performed by a CPU. A program can consist of any number of threads. By distributing tasks to multiple threads, a program...

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