Anaconda Jupyter notebook is not starting through command prompt when I provide the command jupyter notebook. I'm getting this error:
first you need to activate anaconda conda activate then jupyter notebook
Related
I have python 3.8.5 installed with conda (miniconda). Jupyter lab is installed in the 'base' environment. I created a project and its virtual environment (fibonacci-6zMY4jHo) with 'pipenv'. To add the fibonacci-6zMY4jHo as a kernel into Jupyter lab, I did the following:
activated fibonacci-6zMY4jHo:
pipenv shell
installed ipykernel:
pipenv install ipykernel
Added fibonacci-6zMY4jHo to jupyter lab:
ipython kernel install --user --name=fibonacci-6zMY4jHo
Next:I run jupyter lab from the base environmnet. The list of kernels shows fibonacci-6zMY4jHo, but when I select it, jupter is not able to connect to it.
Any idea what is wrong?
I am on macOS Big Sur v11.5.1 with python3 v3.9.6 and since updating my OS and my Python can no longer run anaconda or launch jupyter notebook.
When I use the terminal command jupyter notebook I get:
zsh: command not found: jupyter
So I checked anaconda (which the terminal had said had been successfully installed) with anaconda --version and got:
zsh: command not found: anaconda
Prior to the Big Sur and Python 3.9.6 update (I was previously running 3.6) I was able to just type jupyter notebook and it would launch in my browser. I'd like to be able to do that again now. Is the issue that anaconda doesn't run on python 3.9? Or that the zsh shell isn't recognizing anaconda, conda, etc?
Thank you!
I guess your jupyter was installed in conda base env.
Find out where your anaconda installed.
For example, I installed it in home directory,
so I do following steps:
echo "source ~/anaconda3/etc/profile.d/conda.sh" > ~/.bashrc
then you have to
source ~/.bashrc
After that you will get back your conda.
I have an existing Jupyter notebook and I need to execute it an anaconda environment. I add the conda environment to jupyter notebook by executing the following commands:
conda install ipykernel
python -m ipykernel install --user --name myenv
Now, I can create a new jupyter notebook under the conda myenv.
The problem is how to execute an existing jupyter notebook with myenv? I can do it by copying the content to a new one but is there any other method?
We have just change the kernel under kernel->change kernel
On bringing up octave 4.4.0 for anaconda 3 Jupyter Notebook on windows 10
the 1st octave-gui.exe system error is:
The code execution cannot proceed becuase liboctave-5.dll was not found. Reinstalling the program may fix this problem.
Octave 4.4.0 runs in the gui by itself but not with jupyter Notebook.
Using Python 3.6.5 which runs in Jupyter Notebook.
I was able to run Octave 4.0.1 in Jupyter Notebook.
I am running into some issues with packages I can access in anaconda prompt vs what is available in Jupyter Notebook.
I recently created an environment for python 3.6. I installed a few packages, including pandas, using:
conda install pandas
And all is well:
When I check conda list, I also see pandas installed for py36.
conda list
Now, I run the following line to start my jupyter notebook from this same location:
jupyter notebook
I then run into an error when I try to import pandas. I then try to install pandas with no luck.
My guess is this stems from having downloaded anaconda for python 2.7, but I assume there is a way to get things working in both versions of python for jupyter notebook.
To add, I am able to use pandas when I use python 2.7 (referred to as "root"):
activate root
jupyter notebook
Any help would be greatly appreciated!