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Learning Python

You're reading from   Learning Python Learn to code like a professional with Python - an open source, versatile, and powerful programming language

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Length 442 pages
Edition 1st Edition
Languages
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction and First Steps – Take a Deep Breath FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

Summary


In this chapter, we explored the world of testing, exceptions, and profiling.

I tried to give you a fairly comprehensive overview of testing, especially unit testing, which is the kind of testing that a developer mostly does. I hope I have succeeded in channeling the message that testing is not something that is perfectly defined and that you can learn from a book. You need to experiment with it a lot before you get comfortable. Of all the efforts a coder must make in terms of study and experimentation, I'd say testing is one of those that are most worth it.

We've briefly seen how we can prevent our program from dying because of errors, called exceptions, that happen at runtime. And, to steer away from the usual ground, I have given you an example of a somewhat unconventional use of exceptions to break out of nested for loops. That's not the only case, and I'm sure you'll discover others as you grow as a coder.

In the end, we very briefly touched base on profiling, with a simple example...

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