The least a newcomer to Python would need to know to kickstart their rate of mastering it. This will contain tutorials pertaining to the following:
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Python Fundamentals: A "Computer Science 101" look at data types, function syntax, and built-in Python functions. This consists of a Jupyter Notebook and a standard Python file. The former contains lesson tutorials and the latter is a way to test what you know.
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Machine Learning 101: The basics of classification, clustering, and regression with machine learning algorithms. The notebook covers a brief amount of material for each of those three categories of algorithm, and some simple challenges with prepped data.
Will likely cover further topics in the future, but for now I am sticking with subjects I know well. Together, Python Fundamentals and Machine Learning 101 can both be understood and completed in less than ten days.