make tutorials

[jeremymanning]

key things to highlight:

• wrangle each supported datatype (include use of loaded-in object + filename of saved object):
  • dataframe
  • array
  • text-- use a few different scikit-learn models (train with different built-in and hugging-face corpora) and also show a few hugging-face models. also demo vectorization (scikit-learn) vs. embedding using an already-trained model
  • image
  • mixed list of several datatypes
• interpolation and imputation
• decorators:
  • list_generalizer, funnel
  • stacking and unstacking (show examples of how this is useful); also show stack_apply/unstack_apply
• io:
  • loading data (local + remote)
  • saving data
• util:
  • btwn
  • dataframe_like, array_like
  • load_dataframe (show demos with a few different filetypes-- e.g. csv, json, etc. to show how extensions are handled automatically)
• core:
  • show how config.ini is set up and how it can be customized
  • show how get_default_options and apply_default_options work

[jeremymanning]

template here: https://github.com/ContextLab/hypertools/edit/master/docs/tutorials.rst