Monitor performance issues & errors in your code

Choosing JupyterHub and Python over MATLAB

Episode #201, published Wed, Feb 27, 2019, recorded Wed, Jan 23, 2019

The Nobel prize in economics recently went to Paul Romer, a convert from proprietary software like Matlab over to Python and the SciPy stack. Paul said, “The more I learn about proprietary software, the more I worry that objective truth might perish from the earth.”

That's quite the statement. But what if your organization is deeply committed to proprietary software such as Matlab? Don't despair because Peter Kazarinoff, a professor at Portland Community College is here to share his experience converting his courses over to Python and JupyterHub.
Links from the show

Peter on Twitter: @pkazarinoff
Portland Community College:

Peter’s Book: Problem Solving with Python:
Problem Solving with Python [Amazon]:
Peter’s Blog:
Peter’s MkDocs site showing JupyterHub deployment for a college class:
GitHub repo for Portland Community College’s engineering programming course:

nb git puller:

This year’s Nobel Prize in economics was awarded to a Python convert:
Episode transcripts:

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