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	Podcast:		Talk Python To Me - Python conversations for passionate developers
	Episode:		#201 Choosing JupyterHub and Python over MATLAB
	Category:		Technology
	Duration:		01:03:35
	Publish Date:		2019-02-27 02:00:00
	Description:		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: pcc.edu JupyterHub: jupyterhub.readthedocs.io Peter’s Book: Problem Solving with Python: problemsolvingwithpython.com Problem Solving with Python [Amazon]: amazon.com Peter’s Blog: pythonforundergradengineers.com Peter’s MkDocs site showing JupyterHub deployment for a college class: professorkazarinoff.github.io GitHub repo for Portland Community College’s engineering programming course: github.com nb git puller: github.com This year’s Nobel Prize in economics was awarded to a Python convert: qz.com Sponsors Linode Stellares Banner Talk Python Training
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