Skip to content

Feedback from SciPy 2015 #97

@moorepants

Description

@moorepants

Here's a long list:

  • demo could have diagrams of model as it progresses in code (i.e. label what has been created while going along).
  • super cool example notebooks
  • you should model a segway balancing
  • I liked that you developed things on the board
  • Visualization and playing with params was a great way to give people with less background something to do.
  • love it! nice break from mathematica
  • very good figures
  • maybe add more questions in-between "really easy" and "the nose one" in terms of difficulty
  • seriously great tutorial, infformative, interesting, engaging, frequent exercise, were good even the "menial" ones
  • Great examples for playing with the visualization library
  • Really useful tutorial with great documentation thatnks
  • Not sure I understand the math well but i have an intutive sense of each part and know how to use python well
  • Python notebooks are not a great slide replacement
  • Positive, good pacing
  • Going well in speed
  • like building problem up with illustrations on teh white board
  • print out cheat sheet for forumals and model
  • well explained demo
  • frequent questions for audience (pos)
  • Interesting, haven't used sympy before
  • great documentation and use of the notebook
  • the notebooks seem excellent
  • as an applied mathematician the subject is interesting to me
  • notebooks and diagrams are very well laid out n descriptive
  • great drawings and explanations
  • relevant and interesting example with very clear and well documented notebooks
  • in notebook 3 center of mass exercise you should give variable names
  • the example could probably be a simpler 2 body problem just want to get a handle on the module
  • i'm a visual person sarting with the visualizzations would help
  • intro (python) probably not needed given audience
  • slightly long introduction segment
  • well paced and information, thanks
  • the pacing was uneven but you probably can't change that with such a diverse group
  • update the check_env.py to also chekc version of scipy library
  • not enough time for exerises
  • a little more explanation of the syntax of the methods, lost me with throwing out func/methods w/o explanation
  • didn't understand anything in last notebook
  • i don't have the math background for this
  • assuming knowledge of notebooks/canopy/anaconda impedes the learning process
  • typo: graviy 1st senetence
  • photo printout of example
  • colorize constants
  • please go faster through the exercises
  • definitely need a decent background to fully appreciate the material. maybe recommend some reading ahead of time.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions