steps
1. In default environment:
conda install nb_conda_kernels
2. Then activate different virtual environments and install IpyKernel
conda install ipykernel
3. Restart Jupyter Notebook
Read More:
- Setting up a virtual environment for jupyter notebook
- CONDA creating virtual environment and common CONDA commands
- Using CONDA virtual environment in pychar
- Change Jupyter Notebook Default Directory
- On the kernel error of jupyter notebook
- [Fixed]Error executing Jupyter command ‘notebook’: [Errno ‘jupyter-notebook’ not found] 2
- Nginx manager jupyter notebook v1.0.0 http websocket
- Error importing keras in jupyter Notebook: modulenotfounderror: no module named ‘keras’ solution
- Exception: jupyter command Jupiter notebook not found
- Error kernel restart: restart failed was reported in the background of jupyter notebook
- Jumper notebook, import numpy, prompt “importerror: DLL load failed: unable to find the specified module”
- Error converting jupyter notebook to PDF
- [Solved] Jupyter Notebook Error 500: Internal Server Error
- After canceling the startup of Ubuntu terminal, it will automatically enter the base environment of CONDA
- An error commandnotfounderror (to initialize your shell) is reported when activating the virtual environment
- Solve the problem that “figure size 640×480 with 1 axes” does not display pictures in jupyter notebook
- CONDA failed to create environment (collecting package metadata（repodata.json): failed)
- Solve CONDA’s “solving environment: failed” problem
- Virtual environment: error: virtualenv is not compatible with this system or executable
- Anaconda create environment, delete environment, activate environment, exit environment