Python for decision makers and business leaders Transcripts
Chapter: Testing
Lecture: Continuous integration
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Python pairs well with Continuous Integration.
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Are you familiar with this term, this concept?
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Continuous Integration is an automated system.
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It watches your source code repository for changes.
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Any changes detected there
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so basically code saved back to the project
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it will automatically get that latest version
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run it through various tests.
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For example, if it was C++, you would have to compile
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and link that code and then do some other stuff.
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Python doesn't have this compilation stuff.
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And the reason it's in the testing chapter
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is that makes the testing part even more important.
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With compile languages
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the compiler verifies every single bit
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of the syntax clues together.
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This function says it takes an integer
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and over here you are yes in fact passing an integer.
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If you were to pass it something else
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it would fail the compilation step.
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Python doesn't compile so there is no compilation step.
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So when the only way you have to verify those types
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of things is just run it
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and the best way to run it in Continuous Integration
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is well, you guessed it
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to write a test, probably with Pytest
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that will have the same effect
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as well as checking the logical bits
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that you're trying to check.
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So if you want to have reliable software
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and you want to do Continuous Integration
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or even better, Continuous Delivery
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check into a certain branch, it passes it automatically
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'cause it's deployed to the web server or wherever
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you really need to have tests because without tests
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you haven't verified very much about Python.
