Spyder notebook doesn't show notebook option
Solved:
pip uninstall ruamel.yaml
pip uninstall spyder-notebook
pip install ruamel.yaml==0.17.21
pip install spyder-notebook==0.4.0
Related
How to install rdkit library in my jupyter notebook. I am using Anaconda environment.
Inside the anaconda environment, just run conda install -c conda-forge rdkit
You can find detailed installation instructions here.
After installing kite for desktop (works with VScode)
pip install jupyter-kite
jupyter labextension install "#kiteco/jupyterlab-kite"
pip install --upgrade jupyter-kite
jupyter labextension update #kiteco/jupyterlab-kite
Enable Extension Manager
install and enable #kiteco/jupyterlab-kite extension in jupyter
lab
Kite still not shown in jupyter lab.
No commands that match 'kite:'
in search
Jupyter lab 2.2.9
Windows 10
Update-not working in Version 2.2.6
I meet this problem after reset my laptop.
First, JupyterLab 2.2.x requires NodeJS to be installed.
Then maybe you can try this way:
pip install "jupyter-kite<2.0.0"
jupyter labextension install "#kiteco/jupyterlab-kite"
In my opinion, pip install jupyter-kite will install the latest version of jupyter-kite but the version of jupyter-kite should less than 2.0.0 if user use JupyterLab 2.2.x
The code comes from The GitHub page of Jupyterlab-kite.
[when i run jupyter notebook i got this error again after all commands ][3]
enter image description here
Try this, it will reinstall everything from pypi.
pip3 install --upgrade --force-reinstall --no-cache-dir jupyter
Then Try to use this command to run you notebook as your terminal also suggested.
jupyter notebook
I followed the installation of the xeus-cling (created an env, activated,installed xeus-cling there) and when I want to select the C++14 kernel in a jupyter notebook it only appears Python3. What am I doing wrong?
I had the same problem. Its because jupyter-notebook is not installed in your environment. The jupyter server which is starting is the global one hence you don't see the c++14 option. The solution is:
Create a new directory and git clone the repository.
Run the conda env create -f environmental.yml command in cmd.
Run the conda activate xeus-cling command.
Run the jupyter notebook command.
You should now be able to see the c++14 and c++17 options. Step 2 created the xeus-cling environment and installs all the correct package versions including the correct jupyter notebook version.
Install notebook in your environment.
conda install xeus-cling notebook -c QuantStack -c conda-forge
You need register new kernels in jupyter:
jupyter kernelspec install PREFIX/share/jupyter/xcpp11 --sys-prefix
jupyter kernelspec install PREFIX/share/jupyter/xcpp14 --sys-prefix
jupyter kernelspec install PREFIX/share/jupyter/xcpp17 --sys-prefix
My Jupyter kernel moves between dead, starting, connected status but can’t run any cell. I am running the kernel on the cluster and everything worked fine. I can use ipython from the terminal. A similar thing happens in both Jupyter lab and notebook.
I have reinstalled ipython and tested it with iptest, reinstalled Jupyter also.
pip uninstall ipykernel ipython jupyter_client jupyter_core traitlets ipython_genutils -y
pip install ipykernel ipython jupyter_client jupyter_core traitlets ipython_genutils
Versions:
Jupyter core : 4.5.0
Jupyter-notebook : 5.7.8
Qtconsole : 4.4.3
Ipython : 7.8.0
Ipykernel : 5.1.0
Jupyter client : 5.2.4
Jupyter lab : 1.1.4
Here is the log file when running Jupyter lab.