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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

Advanced debugging – tracing

Tracing of a program right from the beginning can often be used as an advanced debugging technique. Tracing allows a developer to trace program execution, find caller/callee relationships, and figure out all functions executed during the run of a program.

The trace module

Python comes with a default trace module as part of its standard library.

The trace module takes one of the –trace, --count, or –listfuncs options. The first option traces and prints all the source lines as they are executed. The second option produces an annotated list of files, which shows how many times a statement was executed. The latter simply displays all the functions executed by running of the program.

The following is a screenshot of the subarray problem being invoked by the –trace option of the trace module:

The trace module

Tracing program execution using the trace module by using its –trace option.

As you can see, the trace module traced the entire program execution...

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