#100DaysOfCode in Python Transcripts
Chapter: Days 10-12: Testing your code with pytest
Lecture: The importance of testing
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Before getting into the nitty gritty,
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why do you want to test your code?
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And here I have a useful link that introduces
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testing in Python,
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and from my own experience I think the main
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thing you want is to have a regression test suite.
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As your software grows, it becomes more complex
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and you need to make sure that all the previous
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code keeps running.
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If you have a suite of tests that are fast
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and you can run every time you make changes,
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you have a much more reliable application.
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Down here, what I like about this link is that
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there are rules about testing,
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and I'll highlight a few.
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So every test should test one thing
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and be small and independent.
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One test should not influence the other test.
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And set up and tear down,
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which we will see towards the end with fixtures,
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is a way to guarantee that.
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Tests need to be fast.
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Your test suite will be growing,
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and you will run them often.
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You don't want slow tests to delay your development.
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Testing should be automated.
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Again, because you run them often,
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it should be as hands off as possible.
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Fixing bugs.
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If you find a bug in your application
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you usually want to write a test first
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to show that the bug, or even document the bug,
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and then fix it, and then you always have that test
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to verify that that bug does not occur again.
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And there are couple of other items.
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This is good link to go through when
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testing is really new to you.
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There are various frameworks in Python
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to facilitate you writing tests.
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We have unittest, doctest, pytest, hypothesis,
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and tools like talks that lets you
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test various configurations or environments,
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unittest2, and mock.
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In this lesson we are going to focus on my favorite,
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which is pytest.
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pytest is a framework that allows you to
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write test for your Python code,
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and it specifies a set of rules,
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and it has a couple of features that really
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helps you write better test code.
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Alright, enough theory, let's move on
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to the next video where I pip install pytest
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and pytest coverage, and we look at
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the example for this lesson.
