Importing data to Deepnote

Uploading an existing notebook to Deepnote
You can upload existing .ipynb notebooks (or folders of notebooks) to a project by heading to  'Notebooks & Files ' in the sidebar and using the 'Upload file' button. You can also simply drag and drop these files into the filesystem. 
Uploading a .ipynb file from local storage
Uploading files to Deepnote
There are several other ways of uploading files to Deepnote.
Upload small files from your computer — If you have a smaller file (a notebook, a CSV or an image) drag and drop it into the filesystem, or click 'Upload file' or 'Upload folder'. Note that the limit for an uploaded file is 100MB, and the total limit in the folder is 5GB. 
Upload files from URL — You can paste the link in the upload modal (opened by clicking 'Upload from URL' in the sidebar) or use the terminal and the command wget. 
Integrations — If your data lives in a remote service or bucket, you can simply use one of the native Deepnote integrations. By adding the data download step into the notebook code, you will ensure an easy way to keep working with fresh data and avoid repeated manual extractions. 
Working with large files — If you need to work with large files, or access them in multiple projects you can use a Deepnote Shared Dataset. Find more about it in Deepnote Shared datasets section.

Importing a repo to Deepnote
See the GitHub integration guide.

Weights and Biases

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Sharing and embedding blocks

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Contents

Uploading an existing notebook to Deepnote

Uploading files to Deepnote

Importing a repo to Deepnote