Is it necessary to have it loaded here as well?Ĭommented out are some of the many lines I tried to add following suggestions from other pages. However, the certificate is loaded in the apache configuration and seems to work fine there. Notice that I have commented out the references to the certificate, if I don't, then the notebook browser will give a "proxy error" and it won't load. I cannot exclude the problem is somewhere else. I have found various similar issues online and they usually point to either the Jupyter configuration or the Apache/nginx configuration, however I have tried many of the proposed configurations and none of them solved my problem.
I recommend installing pip for package installation, and ipykernel will be needed to switch environments using Jupyter Notebook. While this is a simple approach, this setup can result in issues if end users want to use different versions of the same package or if some packages conflict with.
#Python jupyter notebook set up server install#
If you already plan to install some packages with it just add them to the end, like: conda create -n tf-2.0 tensorflow-gpu pip ipykernel. The Python integration steps described above result in a single Python environment that contains both core packages for Jupyter Notebooks as well as Python packages for end users. In the terminal, with the current configuration it does not report warnings or errors:īut I have tried many similar configurations and sometimes, when the kernel tried to connect, it was showing warnings like: To create a new conda environment we can run. I set up an Ubuntu server to host a Jupyter Notebook that I can access from the web.Įverything seems to work but whenever I open the notebook, the Python Kernel is stuck and it does not connect: