This is the repository for the LinkedIn Learning course Testing Python Data Science Code. The full course is available from LinkedIn Learning. The larger and more complex the world of data science ...

Learn how to write clean and readable Python code by following some best practices, such as naming conventions, PEP 8 style guide, docstrings, comments, modularity, exceptions, logging, tests, and ...

Python interface to the LinkedIn API. This library provides a pure Python interface to the LinkedIn Profile, Group, Company, Jobs, Search, Share, Network and Invitation REST APIs.. LinkedIn provides a ...

But annotating four million lines of Python code in this way isn’t a straightforward task, here are some of the lesser-known benefits and how Dropbox accomplished the task.

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For example the Python interpreter cannot understand your code if your indentation is off, which teaches you to write well-formatted, readable code. And many tenets of writing good code naturally ...

Mypy, Pytype, Pyright, and Pyre can help you keep your type-hinted Python code bug-free. Let’s see what each of these useful tools has to offer.