In this tutorial, you'll explore Python's __pycache__ folder. You'll learn about when and why the interpreter creates these folders, and you'll customize their default behavior. Finally, you'll take a look under the hood of the cached .pyc files.
A nice way to get the most out of these examples, in my opinion, is to read them in sequential order, and for every example:Carefully read the initial code for setting up the example. If you're an experienced Python programmer, you'll successfully anticipate what's going to happen next...
referenceQuery/FileReference.getReferenceEdits: if only one of successfulEdits/failedEdits is given, and it is false, we now assume that the desire is to return the other type (and set that flag to true); formerly, this would result in NO edits being returned parent no longer raises an e...
One example is with a RESTful API I've worked with recently. The API had no standardized way to return errors. For some endpoints, the API would return errors in anerrorskey; in others, it would useerrorormessage. Status codes were also all over the place. It led to the frontend devel...
Learn how to use Python's if __name__ == "__main__" idiom to control code execution. Discover its purpose, mechanics, best practices, and when to use or avoid it. This tutorial explores its role in managing script behavior and module imports for clean an