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**note: below example assumes your docker-compose and other files are in the root of /ft_userdata instead of a docker subfolder ( which i have seen in some repros ). you can modify this with the context property in the dockerfile if needed ./docker **
FROM freqtradeorg/freqtrade:develop_plot
# Pin jupyter-client to avoid tornado version conflict
RUN pip install jupyterlab jupyter-client==7.3.4 --user --no-cache-dir
# Requirements for freqtrade
RUN pip install tqdm quantstats
# Empty the ENTRYPOINT to allow all commands
ENTRYPOINT []
I believe you don't need the jupyter_config if you don't want to password protect the instance (i.e. if you're running on your local machine, I doubt you'd need to provide this).
I believe you don't need the jupyter_config if you don't want to password protect the instance (i.e. if you're running on your local machine, I doubt you'd need to provide this).
It asks for a token else
I think this is the only way to bypass auth totally did not found another way, perhaps there is?
Ah OK - maybe it's a docker-related thing. I run my jupyter instance with jupyter notebook --port ${port} --ip 0.0.0.0 --no-browser --NotebookApp.allow_origin='*' and I don't have to set any auth options.
**note: below example assumes your docker-compose and other files are in the root of /ft_userdata instead of a docker subfolder ( which i have seen in some repros ). you can modify this with the context property in the dockerfile if needed ./docker **
In docker-compose I added this section:
jupyter_config.py:
Dockerfile.jupyter:
To get the password token run:
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