Collaborative Calculation and Data Science

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CoCalc now makes it very easy to run a hosted JupyterLab
instance in the cloud, either a lightweight instance on our shared cluster, 
or a high powered instance on a dedicated compute server with a custom
subdomain.

Checkout out https://github.com/sagemathinc/cocalc-howto/blob/main/jupyterlab.md or the video at https://youtu.be/LLtLFtD8qfo

Using JupyterLab on CoCalc Compute Servers

CoCalc now makes it very easy to run a hosted JupyterLab
instance in the cloud, either a lightweight instance on our shared cluster, 
or a high powered instance on a dedicated compute server with a custom
subdomain.

Checkout out https://github.com/sagemathinc/cocalc-howto/blob/main/jupyterlab.md or the video at https://youtu.be/LLtLFtD8qfo

<img src="https://github.com/sagemathinc/cocalc-howto/blob/main/.jupyterlab.md.upload/paste-0.6889429558547853">



CoCalc now makes it very easy to run a hosted JupyterLab
instance in the cloud, either a lightweight instance on our shared cluster, 
or a high powered instance on a dedicated compute server with a custom
subdomain.

Checkout out https://github.com/sagemathinc/cocalc-howto/blob/main/jupyterlab.md or the video at https://youtu.be/LLtLFtD8qfo

![](https://github.com/sagemathinc/cocalc-howto/blob/main/.jupyterlab.md.upload/paste-0.6889429558547853)



CoCalc now makes it very easy to run a hosted JupyterLab
instance in the cloud, either a lightweight instance on our shared cluster, 
or a high powered instance on a dedicated compute server with a custom
subdomain.

Checkout out https://github.com/sagemathinc/cocalc-howto/blob/main/jupyterlab.md or the video at https://youtu.be/LLtLFtD8qfo


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