I'm having trouble running this line of code, does anyone know why? 

np.random.seed(41)

data = ImageDataBunch.from_folder(path, train="train", valid ="test",ds_tfms=get_transforms(), size=(256,256), bs=32, num_workers=4).normalize()

The error says:



And previously, I have imported the Fastai library.

As the title says, how long will it take before ipywidgets support is added to Deepnote? It has been a pain point for a while, and has forced me to download notebooks and run them locally in more than a few instances.

Google drive integration would be sweet as we can upload our notebooks to cloud also more extensions and themes would be welcomed
EDIT : Would love to see csv files in tabular format while working with it and to open tabs inside the deepnote

Hello,

We are new to Deepnote so maybe I am missing something, but I cannot see the output of a cell. It used to work fine in this notebook, but now when I re-run it even the print() command does not show the output.
thanks!





Hello everyone!

I have created a new dataset of all the "Top 200" and "Viral 50" charts published globally by Spotify. Spotify publishes a new chart every 2-3 days. This is its entire collection since January 1, 2017.

The dataset gets updated daily. I have hosted it on Kaggle (https://www.kaggle.com/dhruvildave/spotify-charts) but now I have also uploaded it on BigQuery!

> BigQuery Dataset ID: `dhruvidave-datasets:spotify_charts`

I have created a notebook doing an exploratory data analysis and it's posted here on Deepnote.

Link to notebook: https://deepnote.com/@dhruvildave/Spotify-Charts-EDA-OFZ4GYceT2agTxMnfr4QSQ

Kudos to the Deepnote BigQuery integration that makes working with it a breeze and ofcourse the amazing Deepnote Notebook viewer! It just looks amazing!

I would like to share notebooks as reports for the layman without any code, but just the graphics and tables and markdown.

I hid the cell output, and then published my notebook. I found that the published notebook had tiny lines for every cell I had hidden code for (for the cells that had no output). See image below.

I like the publishing feature, but I want it without any code as I want to author reports that are not targeted at people who care about the code.

Also, it would be nice if there was a feature that could easily hide/show all code for all cells in a notebook, and not one by one.

Please share your thoughts - maybe I didn't do something right and this is all possible?



You can try to train a huge machine learning thing to estimate execution time based on cell code + memory consumption by variables used there + characteristics of the machine.

Ways to train that:

Maybe you can split that into several parts and code on Twitch stream. For example:

As that will be a hard task to estimate precise time, then you can make 3 (or more) categories: 

That has its benefits:

As per previous posts, we have multiple notebooks per project. Often, what is different from one notebook to another are experiment settings (hyperparameters etc), but they all share in common the same core code base which are simply imported Python files.

It'd be nice if we could run all our notebooks after making changes to the common code base, perhaps a "Run all" or allow us to pick and choose which ones. Thank you!

data.table was working with no issue an hour ago and now its “installation of package ‘data.table’ had non-zero exit status”.

If not on the deepnote end perhaps a push was made to the data.table package?