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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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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

Measuring performance


Now that we've had an overview of what performance complexity is and also of performance testing and measurement tools, let us take an actual look at the various ways of measuring performance complexity with Python.

One of the simplest time measurements can be done by using the time command of a POSIX/Linux system.

This is done by using the following command line:

$ time <command>

For example, here is a screenshot of the time it takes to fetch a very popular page from the Web:

Output of the time command on fetching a web page from the Internet via wget

See that it shows three classes of time output, namely real, user, and sys. It is important to know the distinction between these three so let us look at them briefly:

  • real: Real time is the actual wall clock time that elapsed for the operation. This is the time of the operation from start to finish. It will include any time the process sleeps or spends blocked – such as time taken for I/O to complete.

  • User: User...

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