Our workshop at Michigan State University this week was three days long instead of two, and included two topics (Git and the IPython notebook) that we haven't tried before. Feedback was generally positive, but we've got lots to work on for next time as well.
Good
Bad
Using history
Ending with general theory
Pen and paper database design
Version control was useful
Good practice in software
Concise and module programming in Python
Console segment
Smooth flow between Bash and Python
Challenging and flowed nicely
Futher reading material
Desktop setup
Instructor teaching style
Permission to spend less time coding
iPython notebook looks great
Paired programming model
Git script (tutorials used were available)
Legal issues (opensource)
Good for beginners
Free course (and food!)
Variety
Practical (reality-based)
Overview of DB options
Testing
Better ways to do things
Somewhat static seating created helpful partners
Typing speed is too fast
Class time chunks too long
Why iPython
Need more 'why'
Curriculum
Advanced Git bounced
Too much switching screens
Some things failed
Beverages included only caffeine
Need snacks at breaks
Lacked connection between course material and applicability
In the wake of posts about Shopify's support for white nationalists and DataCamp's attempts to cover up sexual harassment
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