Data Science Asked on January 10, 2021
I am working in a company but I am new in the field. We have a central server which is faster than my laptop (of course). So my goal is that I still use my laptop to do python analysis for machine learning but actual computation is happening in the central server so that the computing power is stronger. I am not considering any cloud service as we have a fast server computer.
But I am clueless in this yet. Can anyone advise me how to do this?
Thank you very much in advance.
I have a similar set-up; I run both local and remote installations of Jupyter. On the server I have JupyterHub running, into which i can ssh. Locally I have Anaconda set up etc.
If you are meticulous in mirroring any custom libraries across the system (or even better package them for pip installs) this works quite well.
Answered by BAC83 on January 10, 2021
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