Notes for Big Data Class, November 11, 2019

I’m going to start posting notes of the papers and books I am writing, as well as the lessons I’m planning. At the very least, I can have a low-stakes way of mapping out the idea, documenting it for any claim of priority. Maybe it will even get some feedback, who knows.  


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Right now I’m designing the toolchain for the Big Data course I’m teaching next year. Just installed Jupyter, which allows me to intersperse notes with running code and visualizations. It will be the default way to demonstrate and document each lesson (and the way students can turn in exercises). Kaggle also looks interesting. It has some data sets, and can host Jupyter notebooks.The next problem is what language/execution environment to use and embed to the notebooks - RPythonOctave? Right now I am partial towards Ovtave. And then there’s Anaconda, which offers a way to have all these tools in one convenient package, with environments and dependencies automatically managed. 

The Rundown September 27, 2019

The Rundown July 29, 2019