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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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Toc

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

Debugging tools—using debuggers


Most programmers tend to think of debugging as something that they ought to do with a debugger. In this chapter, we have so far seen that more than an exact science, debugging is an art, which can be done using a lot of tricks and techniques rather than directly jumping to a debugger. However, sooner or later, we expected to encounter the debugger in this chapter—and here we are!

The Python Debugger, or pdb as it is known, is part of the Python runtime.

Pdb can be invoked when running a script from the beginning as follows:

$ python3 -m pdb script.py

However, the most common way in which programmers invoke pdb is to insert the following line at a place in the code where you want to enter the debugger:

import pdb; pdb.set_trace()

Let us use this, and try and debug an instance of the first example in this chapter, that is, the sum of the max subarray. We will debug the O(n) version of the code as an example:

def max_subarray(sequence):
    """ Maximum subarray -...
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