Wrapping Up in Melbourne

Posted 2013-02-15 by Greg Wilson in University of Melbourne.

Two long but useful days at Melbourne Uni have just wound down, and five dozen meteorologists and climate scientists have given us feedback on a well-run bootcamp:

Good Bad
  • splitting big problems into small pieces
  • SQLite is easy
  • functions instead of loops
  • Python was easy
  • naming functions after pets
  • hands-on application at the same time as instructor
  • morning tea
  • dictionaries
  • explaining why, rather than just what
  • swapping variables
  • using our own computers
  • copy/paste onto Etherpad
  • arrays in NumPy
  • sticky notes
  • a bit of motivational speaking
  • location (I'm not from Melbourne, eh)
  • Subversion FTW!
  • Git + BitBucket
  • Python Notebook
  • hey, there's useful stuff online
  • helpers
  • red/green/refactor
  • really practical exampels of test-driven development
  • Greg tells stories
  • lot of participation
  • talk to other people during the breaks
  • regular expressions
  • cheap!
  • seeing how programmers think
  • realizing how much room for growth I have
  • scared in the first ten minutes...
  • the material is free
  • peer instruction
  • WiFi
  • didn't do any meteorological data sets
  • the jokes
  • viewing angle
  • installing stuff
  • couldn't use some advanced stuff (I'm a beginner)
  • coffee
  • running right after conference
  • squeezing four half days into two full days (maybe try 3?)
  • not enough exercises
  • not long enough
  • content could have been more focused
  • didn't do NetCDF files
  • a bit of motivational speaking
  • didn't see comparison of Python with R
  • lot of spread of material/ability
  • longer breaks (I'm so tired)
  • databases irrelevant to me
  • IPython/NumPy confusing
  • wasn't in New Zealand
  • not enough time on version control
  • wasn't in Fiji
  • hated SQL
  • Greg speaks waaaaaaaaay too fast
  • learned a lot about Vi
  • hopping
  • pretty intense, dude
  • took a long time to restart after breaks
  • more on plotting
  • lighting in the room is uneven
  • more about linking Python to other things
  • ...after first ten minutes, it was OK
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