I am trying to use the magic %qtconsole from jupyter notebook.
I am working on my local connected to a remote server.
WHen typing %qtconsole and shift-enter in a cell of the notebook, nothing happens. No error message, but not qt console either.
Does that have to do with the remote server? Anyone has an idea how to resolve that problem?
You don't say much about your environment, but you may need to install qtconsole. If you are in a conda environment try...
conda install qtconsole
... or in general...
pip install qtconsole
Related
I just downloaded vscode using homebrew and install python#3.11 using homebrew as well. I used pip3 install jupyter as I saw other recommend to fix this issue and still no luck. I have downloaded all the extensions on vscode and I have set the kernal to homebrew version of python and I still recieve this issue. Note that I have used notebooks in the past and have never gotten this issue so I am not really sure what it is this time. I have not installed anaconda.
I have tried uninstalling and installing the extensions but no luck. I have tried to pip3 uninstall jupyter, pip3 uninstall notebook and reinstall them and still no luck. I have tried to change the kernal to the default python3 on the mac and still nothing. My mac is m1 running on Ventura 13.2. I am able to run python code on regular python files just not using jupyter notebook. I followed the instructions how to set it up on vscode website but I got this error. Any help would be appreciated thank you.
I have same issue using VSCode on Mac OS.
VSCode's 'Jupyter' plugin is broken, causing VSCode unable to bind with python interpreter. Downgrading from v2023.1.2000312134 to v2022.11.1003412109 fixed my issue.
I had the same issue, running on m1 mac (Ventura 13.2). If you aren't already, make sure you are utilising a python virtual environment:
# Create a python virtual environment
$ python -m venv venv
# Activate your python virtual environment
$ source venv/bin/activate
Form your VSCode Command Palette (Shift+Command+P), search and then choose
Jupyter: Select Interpreter to Start Jupyter Server
You should then select the python version that is associated to your virtual environment (venv).
To date I have been using Jupyter Notebook to run R and sometimes Python code. I have also been using RStudio at times. Recently, while using RStudio, I was prompted to install some package (cannot exactly remember). At any rate, I installed this package. Dont know if only coincidence, but trying to run R in the notebook resulted in kernel not connecting. I found the same issue with Python, the Python kernel is also not connecting anymore.
Executing the below, I get;
(base) C:\WINDOWS\system32>jupyter kernelspec list
Available kernels:
ir C:\Users\Admin\AppData\Roaming\jupyter\kernels\ir
python3 C:\Users\Admin\anaconda3\share\jupyter\kernels\python3
How do I get Jupyter Notebook's kernels to work again.
Executing IRkernel::installspec() in R via Anaconda CMD prompt have resolved the issue. Note for others with this issue, you may be prompted to run install.packages(“rlang”) before.
I am trying to use the hidecode tag as shown here, but for some reason, it's not working on my local Jupyter Notebook server. The code remains visible, and no button on the right of the cell is displayed. I even downloaded the same notebook used in the page above, no dice.
I am running Ubuntu 18.04.2 LTS, Jupyter Notebook Server 5.2.2, Python 3.6.7, and IPython 5.5.0. The command I ran to start the server is sudo jupyter notebook --allow-root.
If you need any more info, please let me know. I appreciate any help I can get in figuring this out.
If you want to hide the code, the output or the prompt of your cells you can install the hide_code extension:
https://pypi.org/project/hide_code/0.2.0/
Stop jupyter
Run these commands
pip install hide_code
jupyter nbextension install --py hide_code
jupyter nbextension enable --py hide_code
jupyter serverextension enable --py hide_code
NOTE: I run the first two commands as root and the last two with the same user used to launch jupyter.
Restart jupyter
I found this extension very useful because I needed to print the notebook to a pdf file and all the tools like nbpublish, nbconvert was failing. In this way I can print the notebook directly from the "print" feature of the browser.
I am having a really hard time adding python 2.7 as a kernel to my iphyton notebook. I have anaconda installed with a python environment called "python2." I can navigate to the environment folder and launch ipython (using python 2.7) in the script folder.
I have tried ipython kernelspec install-self using iphython.exe, however, it seems like ipython is not even a command in that window.
I tried it again in anaconda command window and it just install python3. Please help with precise steps.
Ok I got it. I had to:
Change my python.exe under envs to python2.exe. I also change pythonw to pythonw2.
Added Anacoda\envs\python2 folder that includes python2.exe and scripts to path variable
Then ran this command in Anaconda command window: python2 -m IPython kernelspec install-self
Then ipython kernelspec list to verify
So I installed Anaconda on my Ubuntu linux 12.04LTS x64 box. It seems to work fine except for this. So I created a conda environment using the
conda create -n py33dev python=3 anaconda
When I try to run the ipython shell, I would expect to get the Ipython3 shell and notebook. However, it still loads the ipython 2.7.6 shell. I tried using the ipython3 command, but it will then load an ipython3 shell from my computer and not from Anaconda.
I tried to install ipython3 to the Anaconda environment using
pip install ipython3
and
conda install ipython3
However, when I do this I just get a message saying "No packages found matching: ipython3"
So I am not sure why Anaconda runs fine with python2 but not with python3--even though Continuum indicates it is python3 ready. Am I missing a step anywhere? Does anyone know how to solve this?
Did you remember to do "source activate py33dev"?