Working with files
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Deepnote for education
Importing data files
Uploading data 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. Drag and dropping a CSV file into the notebook will result in creating a SQL block that queries the file.
- 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
- 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.
Note that Deepnote is compatible with core Jupyter functionality. Read our section on importing and exporting Jupyter notebooks to learn more 🙌.