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Start IPython Kernel and Jupyter Console Separately
How to Start IPython Kernel and Jupyter Console Separately?
✍: FYIcenter.com
You can start an IPython Kernel and a Jupyter Console in a single
command "jupyter console --kernel=kernel_spec".
But you can also start an IPython Kernel separately and keep it running. Then start a Jupyter Console later to connect to the running kernel as shown in this tutorial.
1. Start IPython Kernel and keep it running. Remember the Kernel ID: "kernel-3927894.json" in the output.
fyicenter$ conda activate faq (faq) fyicenter$ python -m ipykernel NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work. To exit, you will have to explicitly quit this process, by either sending "quit" from a client, or using Ctrl-\ in UNIX-like environments. To connect another client to this kernel, use: --existing kernel-3927894.json
2. Start Jupyter console and connect to this running kernel.
fyicenter$ conda activate base (base) fyicenter$ jupyter console --existing kernel-3946681.json Jupyter console 6.4.0 Python 3.9.6 IPython 7.26.0 -- An enhanced Interactive Python. Type '?' for help. In [2]: print("Hi there!") Hi there!
⇒ Installing and Running JupyterHub
⇐ Connect Jupyter Console to IPython Kernel
2021-09-09, 1313🔥, 0💬
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