Reputation: 777

Python requires ipykernel to be installed

I encounter an issue when I use the Jupyter Notebook in VS code. The screen shows "Python 3.7.8 requires ipykernel to be installed". I followed the pop-up to install ipykernel. It still does not work. The screenshot is attached. It bothers me a lot. Could anyone help me with it? Tons of thanks.

Screenshot of VSCode displaying the error message.

Upvotes: 65

Answers (24)

Alican Kilicarslan

Reputation: 1006

January 2025 Updated Solution

My setup uses uv for the package manager. uv is the fastest Python package manager, and VScode is the most common code editor.

To build a new venv with uv and VScode:

Open a new terminal

mkdir folder_name
cd folder_name
uv init
uv venv
source .venv/bin/activate
uv add ipykernel

Open the folder in VScode 7. Check Python and Jupyter VScode extension are installed and active. 8. Open a new .ipynb file. 9. Select venv kernel in right, top dropdown.(Select another kernel > venv in .venv folder) 10. For mac(OSX) > F1 (command pallette) > Python: Select interpreter > Select Python interpreter in .venv file.

Upvotes: 0

JPWebsites

Reputation: 1

Recently I Fix the issues with ipykernel re-install the Python versión in my PC, make sure to able this option.

mark the check box - PATH IMPORTANT

Upvotes: 0

Perian Yan

Reputation: 1

Check the version of jupyter: jupyter --version

output of jupyter --version

I found that I haven't installed ipykernel and pip install ipykernel works for me.

Upvotes: 0

fspadafo

Reputation: 11

Since I needed a Python env with a different (lower) version, I created one directly for a JuPyter notebook with an available IPython-Kernel as described in the documentation: https://ipython.readthedocs.io/en/stable/install/kernel_install.html

conda create -n ipykernel_py2 python=2 ipykernel
source activate ipykernel_py2    # On Windows, remove the word 'source'
python -m ipykernel install --user

Upvotes: 1

imartov

Reputation: 27

To solve the problem you need:

Create a virtual environment using the command: python -m venv /path/to/new/virtual/<your_environment_name>
Activate this virtual environment using the command: /path/to/new/virtual/<your_environment_name>\Scripts\activate
Install the ipykernel library into the virtual environment using the command: pip install -U ipykernel
Define the interpreter of the created virtual environment to your file with the iponb extension using button in the upper right corner:

Upvotes: 1

shabnam mansuri

Reputation: 24

use This command c:/Python311/python.exe -m pip install ipykernel -U --user --force-reinstall Vs code editor recommended command

Upvotes: -1

Daniel Srp

Reputation: 383

I was using Linux (no Conda), and I had the same problem. I found out that there were some missing packages for which the Jupyter notebook was not starting.

The first thing that I checked was to see if I could launch jupyter notebook outside of VSCode by running jupyter notebook in a terminal. Running this command generated an error and showed me what packages I was missing (for example pysqlite).

Installing all the required packages and being able to run jupyter notebook outside of VSCode, also solved the problem inside VSCode.

Upvotes: 1

windyxh

Reputation: 1

This happens to me because the version of conda is low, which leads to the low version of ipykernel installed. You need to update the conda version and then install it with the conda command or use pip install ipython ipykernel to install.

Upvotes: 0

Haroon Sadiq

Reputation: 1

I just solved this by installing latest version (3.11) of python

Upvotes: -2

Test Up4

Reputation: 1

1.open cmd as administrator 2.Run the following. python -m pip install ipykernel -U --user --force-reinstall

Upvotes: 0

Timotheeee

Reputation: 1

If you have a USB drive plugged in with an unrecognized file system, then VS code can't run notebooks because the "jupyter notebook" command crashes

Upvotes: 0

Sami

Reputation: 51

Recently, I ran into the same problem twice after updating VS Code. When I tried to run a cell in a Jupyter notebook, it said I need to install a python extension (even though I had it installed). But I just went to the python extension and switched the version. That's it, it worked for me like that.

Upvotes: 1

Hadij

Reputation: 4640

This is how the problem is solved for me:

I ran this:

pip install --upgrade --force jupyter-console

Then I got an error for botocore conflict (You may get an error for another package). I installed botocore:

pip uninstall botocore

An then rerun the above code:

pip install --upgrade --force jupyter-console

If you received a conflict error for other packages, continue removing them and taking the same steps until there is no error. When jupyter-console successfully installs, you won't see the Kernel error again.

Upvotes: 0

Bayebayesian

Reputation: 11

try conda install -n base ipykernel --update-deps --force-reinstall

Upvotes: 1

Sanketsz

Reputation: 136

I too faced the same issue, so simply I made the new environment and changed the kernel in vscode.

Upvotes: 1

Vikram

Reputation: 341

The problem mentioned is not specific to conda based virtual environments.

My config: Python 3.7.8, VS Code: 1.63.2, OS: Windows 10 64 bit, venv for virtual environment

I am using python venv for virtual environment. When i imported a new .ipynb file in VS Code while trying to run it, it gave the error "Running cells with Python 3.7.8(env_name:venv) require ipykernel package".

I hit the pop up to install and can see the following being installed in the selected virtual environment/kernel i am using with my Jupyter notebook.

xxx/xxx/../python.exe -m pip install -U ipykernel

and finally, the installed packages:

Installing collected packages: wcwidth, traitlets, parso, tornado, pyzmq, pygments, prompt-toolkit, pickleshare, nest-asyncio, matplotlib-inline, jupyter-core, jedi, entrypoints, decorator, backcall, jupyter-client, ipython, debugpy, argcomplete, ipykernel
Successfully installed argcomplete-2.0.0 backcall-0.2.0 debugpy-1.5.1 decorator-5.1.1 entrypoints-0.3 ipykernel-6.6.1 ipython-7.31.0 jedi-0.18.1 jupyter-client-7.1.0 jupyter-core-4.9.1 matplotlib-inline-0.1.3 nest-asyncio-1.5.4 parso-0.8.3 pickleshare-0.7.5 prompt-toolkit-3.0.24 pygments-2.11.2 pyzmq-22.3.0 tornado-6.1 traitlets-5.1.1 wcwidth-0.2.5

You can start with installing ipykernel directly in the selected environment.

Upvotes: 2

Kelvin

Reputation: 71

Maybe you can try type this cmd in the terminal. And let see what happen.

python -m ipykernel

I got sth error after I had typed this cmd.

ImportError: cannot import name 'AsyncGenerator'

The fix is from https://stackoverflow.com/a/65557088/11474510

pip install --upgrade prompt-toolkit==2.0.1

Upvotes: 5

Neelabh Somani

Reputation: 304

I had the same issue and spent the whole day trying to resolve it. What worked for me was installing the Jupyter dependencies for anaconda:

> conda install jupyter

I installed this in my base environment. After this VSCode worked without any errors.

Upvotes: 28

pcko1

Reputation: 991

In my case, I had to pip install jupyter, not ipykernel as implied by the error message.

Upvotes: 1

Shane Wolff

Reputation: 139

Recently I ran into this problem and personally I believe that this problem specifically emerges if you are using a conda environment. Even if you upgrade the ipykernel in the right environment, the problem persists. Install the nb_conda_kernels package in the conda environment you want to use with your Jupyter notebook.

conda install -n notebook_env nb_conda_kernels

Replace the notebook_env in the above command with the actual environment name you use. Check out this repository for further reference.

Upvotes: 13

Steven-MSFT

Reputation: 8431

The pyzmq package installed in the conda(base) environment caused it. You can solve the problem through uninstall and reinstall the 'pyzmq' package under the conda(base) environment.

pip uninstall pyzmq
pip install pyzmq

You can refer to here for more details.

Upvotes: 4

Parth Kshirsagar

Reputation: 187

Just Do A : pip install ipykernel --upgrade

Upvotes: 16

fedemoreno613

Reputation: 21

Change the JSON schema and point to your environment.

If you encounter problems, create a new environment.

Upvotes: 1

Jill Cheng

Reputation: 10372

The reason is that your current VSCode terminal is in the environment "Deeplearning_Env", so "ipykernel" is installed in the environment "Deeplearning_Env" instead of the environment "base conda" displayed in the pop-up box.

Solution: Please use the shortcut key Ctrl+Shift+` to open a new VScode terminal, it will automatically enter the currently selected VSCode environment (VSCode lower left corner), and activate this conda environment:

Then, click to install "ipykernel" according to the prompt in the pop-up box. Or, we could also install "ipykernel" manually: (pip install ipykernel)

In addition, for the newly created Python environment (without installing "ipykernel"), before opening the Jupyter file, please refresh the VSCode terminal and enter the currently selected environment. For the conda environment, we need to activate it before using it.

Check: Check the installation of "ipykernel":

More reference: Environment in VSCode.

Upvotes: 36

Python requires ipykernel to be installed

Answers (24)

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