🛠FSDL Tooling Tuesday🛠
@DeepnoteHQ is an epic Jupyter notebook alternative:
- Improved UX
- Real-time collaboration (editing and discussion)
- Direct connections to your data stores, including Postgres, S3, and BigQuery
- Effortless sharing of your running notebook
👇
@DeepnoteHQ is an epic Jupyter notebook alternative:
- Improved UX
- Real-time collaboration (editing and discussion)
- Direct connections to your data stores, including Postgres, S3, and BigQuery
- Effortless sharing of your running notebook
👇
One major con: Deepnote does not yet support GPU compute.
For data scientists who don't need to train deep learning models, Deepnote is a great tool to check out. It improves your developer experience and allows effortless sharing of your work with your teammates and manager.
For data scientists who don't need to train deep learning models, Deepnote is a great tool to check out. It improves your developer experience and allows effortless sharing of your work with your teammates and manager.
While the Deepnote team is working on adding GPU support, there's another Jupyter-like cloud notebook you can use for deep learning: @GoogleColab.
If you use it, we recommend signing up for their $10/month Pro plan for priority access to TPUs, longer runtimes, and more RAM.
If you use it, we recommend signing up for their $10/month Pro plan for priority access to TPUs, longer runtimes, and more RAM.
And of course, JupyterLab is an open-source improvement over the classic Jupyter notebook.
It adds UX improvements like panel-splitting between the notebook, code files, and terminal: jupyterlab.readthedocs.io/en/stable/
It adds UX improvements like panel-splitting between the notebook, code files, and terminal: jupyterlab.readthedocs.io/en/stable/
We ❤️ seeing these projects strive to improve the notebook experience.
It should be effortless to run things in the cloud as well as locally, to collaborate with others, and to share your work widely.
Happy Tuesday, and let us know what tools we should cover in future weeks!
It should be effortless to run things in the cloud as well as locally, to collaborate with others, and to share your work widely.
Happy Tuesday, and let us know what tools we should cover in future weeks!
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