IBM’s Uncertainty Qualification 360 is an open source library of Python algorithms for quantifying, estimating, and communicating the uncertainty of machine learning models.

And, of course, Python is used extensively within Netflix's machine-learning algorithms for things like content recommendations, artwork personalization, and marketing.

Three new books warn against turning into the person the algorithm thinks you are.

Since algorithms are not limited to only one programming language, these questions test your logic and thinking, as well as coding in Python. For example, you could get this question: ...

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

What happens when two algorithms get into a deathmatch over book pricing? You get a book about fly developmental biology that will run you more than $23 million plus shipping of course.