The tentative notebook names in examples/start that I decided with Philipp are:

I-Introduction.ipynb 
II-Customization.ipynb 
III-Datasets.ipynb 
IV-Live_Data.ipynb 
V-Pipelines.ipynb 
VI-Principles.ipynb

These are filenames and the sections will probably have longer names associated with them as well.

Roman numerals look a bit too formal for a software getting started guide! Those look good, apart from me not being able to guess what Pipelines are.

The guides are now in a top level guides/ directory. I would strongly recommend renaming doc/ to sphinx/ at a later date.

The new listing is:

1-Introduction.ipynb
2-Customization.ipynb
3-Tabular_Datasets.ipynb
4-Gridded_Datasets.ipynb
5-Live_Data.ipynb
6-Pipelines.ipynb
7-Principles.ipynb

@jbednar @philippjfr Can we try to think of a better word than 'gridded' before inventing an entirely new word?

Can we try to think of a better word than 'gridded' before inventing an entirely new word?

Not sure what you mean; "gridded" is in wide use in at least some contexts (see e.g. http://scitools.org.uk/iris/docs/latest/userguide/iris_cubes.html).

@jbednar You've convinced me about gridded being used elsewhere!

In 08e5354 I remove the 'hidden' cell as I expect #1518 will be merged to fix the issue with bgcolor.

@philippjfr I've initialized some rst for the two guides. Are you happy with this structure before I continue?

In commit 7f6772e I improve the Exporting user guide, making it more robust and thus addressing #1472.

Updated plan for user guides:

1. Annotating your Data [redim, explicit dimension objects, label, group]
2. Compositions of elements [+, *]
3. Dimensioned Containers

• Mention and link to split notebooks: HoloMap, NdLayout, GridSpace, NdOverlay, DynamicMap
• Methods: casting, faceting, .overlay, .layout

4. Nesting data (replacing Composing data, hierarchy of structure, traversal, map)
5. DynamicMap: Live Data. Setting ranges etc.
6. Gridded data [gets you to 1,2,3,5]
7. Tabular data [gets you to 1,2,3,5]
8. Options: Customizing Plots
9. Transforming elements
10. Data transformation pipelines.
11. Streams: Responding to Events
12. Linked Streams: Custom Interactivity
13. Large Data
14. Indexing and selecting Data

Supplementary" guides (no strong ordering):

• Plotting with Matplotlib
• Plotting with Bokeh
• Plotting with Plotly
• Exporting
• Bokeh apps
• Deployment
• Dashboards
• Continuous Coordinates
• Renderer and plots (user-centric)
• Magics

I've added the current homepage demo (mandelbrot) to examples/demos. Note I had to heavily downsample (100x100 array instead of 400x400) and use half the frames with the bokeh version to keep the file size down. And it is still 3x larger than the matplotlib version (6MB instead of 2MB).

@philippjfr I just fixed a syntax error in the game of life app, but it still doesn't work for me (nothing happens after loading).

I've just tested all the apps and gapminder also doesn't work..at least on Python 3:

Traceback (most recent call last):
  File "/Users/jstevens/miniconda3/envs/analytics/lib/python3.6/site-packages/bokeh/application/handlers/code_runner.py", line 81, in run
    exec(self._code, module.__dict__)
  File "/Users/jstevens/Desktop/development/holoviews/examples/apps/bokeh/gapminder.py", line 80, in <module>
    hvplot = BokehRenderer.get_plot(hvgapminder, doc)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/plotting/bokeh/renderer.py", line 113, in get_plot
    plot = super(BokehRenderer, self_or_cls).get_plot(obj, renderer)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/plotting/renderer.py", line 177, in get_plot
    **plot_opts)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/plotting/plot.py", line 797, in __init__
    self.hmap = self._apply_compositor(self.hmap, ranges, self.keys)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/plotting/plot.py", line 823, in _apply_compositor
    mapwise_ranges = self.compute_ranges(holomap, None, None)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/plotting/plot.py", line 352, in compute_ranges
    self._compute_group_range(group, elements, ranges)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/plotting/plot.py", line 412, in _compute_group_range
    dim_range = el.range(dim)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/core/data/__init__.py", line 263, in range
    drange = self.interface.range(self, dim)
  File "/Users/jstevens/Desktop/development/holoviews/holoviews/core/data/pandas.py", line 102, in range
    column = column.sort_values()
  File "/Users/jstevens/miniconda3/envs/analytics/lib/python3.6/site-packages/pandas/core/series.py", line 1710, in sort_values
    argsorted = _try_kind_sort(arr[good])
  File "/Users/jstevens/miniconda3/envs/analytics/lib/python3.6/site-packages/pandas/core/series.py", line 1700, in _try_kind_sort
    return arr.argsort(kind='quicksort')
TypeError: '>' not supported between instances of 'Text' and 'Text'

Two more comments:

• All these apps could do with more comments and docstrings at the top of the file.
• All these apps are suitable for displaying in the gallery except for player.py and selection_stream.py which are not particularly interesting. Maybe we can list notebooks to exclude from the gallery somewhere so we can leave these apps where they are...

I'll add the taxi datashader app shown in the collage now...

@philippjfr I just added the economic bars example used in the collage. Two issues:

• For bokeh I had to use %%opts Bars (color=Cycle(values=bokeh.palettes.Category20[12])) to get enough colors for the countries.
• Unfortunately, matplotlib doesn't even have 'Category20' so I had to use Palette('tab20') instead.

We really want something that works for both backends independently! The plot option for matplotlib Bars is horrible but that is a separate issue...

@philippjfr Actually I got confused...it seems that 'tab20' is the same as 'Category20'.

Should we set up some aliases?

Just some reminders:

• The colormaps in examples are correct no longer match the one in the tutorial showing the economic data (which is wrong).
• I need to redo the images in the collage as the colormaps have changed.

All the examples in the collage are now in the gallery for matplotlib/bokeh.

Note that in the last one (dropdown_economic) I had to use VLines/Text instead of Arrow for bokeh.

I've stripped out all the kernel metadata fluff using:

find . -name '*.ipynb' -exec /tmp/holoviews/examples/strip_kernel.sh {} \;

Where strip_kernel.sh is:

#!/bin/bash
jq --indent 1 \
    '
    (.cells[] | select(has("outputs")) | .outputs) = []
    | (.cells[] | select(has("execution_count")) | .execution_count) = null
    | .metadata = {"language_info": {"name":"python", "pygments_lexer": "ipython3"}}
    | .cells[].metadata = {}
    ' $1 > /tmp/stripped.ipynb

This is a quick hackish approach for now and we'll find something more robust and useable from holoviews itself in future.

+14,569 −2,546

We've done a huge amount of work in this PR. Maybe it is time to merge? Just check the notebooks work well for you having stripped out the metadata/kernel spec!

Phew! Will be very happy to see this on master! :-)

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