Why this matters: This information matters because it gives us more information about dunder methods, discusses an important ethical topic regarding attribution, and introduces the statistics module and many of its methods.
1. What is the purpose of dunder methods in Python? Provide an example of a commonly used dunder method.
Dunder methods allow you to emulate the behavior of built-in types. Common examples are init and str.
2. In the video “AI Guru makes $238,800 with misleading paid course,” what was the main ethical issue raised concerning the use of developers’ work, and how might this have been avoided?
He created a machine learning course through Udacity that included stolen code from GitHub. This could have been avoided with proper attribution, including forking vs cloning repositories. (That blonde streak in his hair? A close second ethical concern.)
3. Describe the Python statistics module and give an example of a function within the module that can be used to perform a common statistical operation.
It’s a built-in module that can be used to calculate mathematical statistics of numeric data. For example, statistics.harmonic_mean() calculates the central location of the given data.
Nothing at the moment!