Robbi Bishop-Taylor

Hmm, this is complicated by the fact that `ds` can be Dask, and we don't want to trigger computation early to work out if its values are outside the 0-1.0...

This is likely a job to do after we have functioning unit tests, e.g. #1075

We should however ensure that some important dependencies like `odc-geo` and `odc-stac` are correctly included in our `setup.py`.

Hey @s-m-t-c, thanks so much for putting this together - I think it will be a great addition to the repo (have been wanting to get some Leafmap examples in...

Hey @margaretharrison , haven't forgotten this one, aiming to get to it this week! It looks awesome at first glance

Hey @Matt-dea @erin-telfer @supermarkion - is this something your team could take on? Should be an easy/quick fix 😃

Oh that's weird. Could try resizing the image file itself to the right width, then just rendering it using plain markdown? e.g. ```  ```

I think if you use the markdown approach it will just scale it correctly by default - I don't think I've needed to specify a specific width/height using that method...

Need to fix: `Downloading_data_with_STAC.ipynb`: 

``` ============================ slowest 100 durations ============================= 2000.73s call Real_world_examples/Scalable_machine_learning/1_Extract_training_data.ipynb::Cell 8 987.54s call Real_world_examples/Change_detection.ipynb::Cell 4 844.32s call Real_world_examples/Wetness_stream_gauge_correlations.ipynb::Cell 10 341.45s call Real_world_examples/Urban_change_detection.ipynb::Cell 8 340.15s call Real_world_examples/Chlorophyll_monitoring.ipynb::Cell 4 303.83s call Real_world_examples/Turbidity_animated_timeseries.ipynb::Cell 3...