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Don't even try. Use docker, there are official pre-built images. It's easy: docker run -p 8888:8888 -v ~/Code/actual-project/:/home/jovyan jupyter/datascienc
by zsellera 6y ago
Don't even try. Use docker, there are official pre-built images. It's easy:
docker run -p 8888:8888 -v ~/Code/actual-project/:/home/jovyan jupyter/datascience-notebook
Note ~/Code/actual-project/ is a git repo or a mounted Google Drive folder. Moving from one machine to an other is pain-free.
[1] https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html https://jupyter-docker-stacks.readthedocs.io/en/latest/using...
- fulafel 6y agoPSA: Don't use docker run -p xxx:xxx lightly. Even (or especially!) not in examples and documentation. It will listen to connections from anywhere in the internet and go out of its way to manipulate firewall rules on your machine to make a hole for it. Instead, use: docker run -p 127.0.0.1:8888:8888