ipykernel | IPython Kernel for Jupyter | Code Editor library
kandi X-RAY | ipykernel Summary
kandi X-RAY | ipykernel Summary
This package provides the IPython kernel for Jupyter.
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Top functions reviewed by kandi - BETA
- Convert obj to json .
- Dispatch a shell message .
- Initialize the stream .
- Install a kernel spec .
- main loop for tkinter
- Publish image data .
- Start wx .
- Return a rich representation of the variable
- Cancel a coroutine .
- Start the child process .
ipykernel Key Features
ipykernel Examples and Code Snippets
Community Discussions
Trending Discussions on ipykernel
QUESTION
ANSWER
Answered 2022-Apr-03 at 18:03The reason why you're seeing all these processes in htop
and not with ps
is that htop
is showing threads (see https://serverfault.com/questions/24198/why-does-htop-show-lots-of-apache2-processes-by-ps-aux-doesnt). Type "-H" inside htop
to toggle showing threads.
Automatically stop idle kernels
Concerning Jupyter notebook processes in general: kernels are small computational engines and consume a lot of resources (mainly memory) even when they're not active. This is why one should encourage users to stop running kernels when they're not in use. The problem is that even if one closes a tab or the whole browser, the kernel keeps running, so one forgets about the kernels!
Since it's unlikely that users will shutdown their kernels, consider stopping idle kernels by configuring the parameter NotebookApp.shutdown_no_activity_timeoutInt
in your Jupyter configuration file jupyter_notebook_config.py
.
NotebookApp.shutdown_no_activity_timeoutInt.
Default: 0Shut down the server after N seconds with no kernels or terminals running and no activity. This can be used together with culling idle kernels (MappingKernelManager.cull_idle_timeout) to shutdown the notebook server when it’s not in use. This is not precisely timed: it may shut down up to a minute later. 0 (the default) disables this automatic shutdown.
See also these properties:
QUESTION
I can use the normal F2 rename variable functionality in regular python files in vscode. But not when editing python in a jupyter notebook.
When I press F2 on a variable in a jupyter notebook in vscode I get the familiar change variable window but when I press enter the variable is not changed and I get this error message:
No result. No result.
Is there a way to get the F2 change variable functionality to work in jupyter notebooks?
Here's my system info:
jupyter module version
...ANSWER
Answered 2022-Jan-17 at 02:49Notice that you put up a bug report in GitHub and see this issue: Renaming variables didn't work, the programmer replied:
Some language features are currently not supported in notebooks, but we are making plans now to hopefully bring more of those online soon.
So please wait for this feature.
QUESTION
I am trying to classify an input image with a TensorFlow model in a multi-class classification problem. I would like to plot the probabilities of the top-10 highest predicted class. I do that with the following steps:
1. Load the model
...ANSWER
Answered 2022-Mar-22 at 08:24Since you are initializing a tensorflow (version < 2) session with tfc.InteractiveSession()
you might need to initialize all values before running your session by calling:
QUESTION
I am finding it difficult to train the following model when using the 'Mobilenet_tranferLearning'. I am augmenting and loading the files from the directory using ImageDataGenerator and flow_from_directory method. What is interesting is that my code does not throw any errors when using InceptionV3, but does when I use 'Mobilenet_tranferLearning'. I would appreciate some pointers as I believe I am using the correct loss function 'categorical_crossentropy' which I have also defined in train_generator (class_mode='categorical').
...ANSWER
Answered 2022-Mar-17 at 07:09Make sure you have the same image size (224, 224)
in flow_from_directory
and in the hub.KerasLayer
. Here is a working example:
QUESTION
My python3 kernel for jupyter notebook was not starting, so I uninstalled it. I then ran these commands to create a new python3 kernel.
...ANSWER
Answered 2021-Nov-28 at 00:38I solved this issue by uninstalling and reinstalling Anaconda.
QUESTION
I installed RDKit via pip
like this.
ANSWER
Answered 2022-Mar-09 at 04:55I just installed the lower version of RDKit and it worked fine.
QUESTION
I know that several similar questions exist on this topic, but to my knowledge all of them concern an async
code (wrongly) written by the user, while in my case it comes from a Python package.
I have a Jupyter notebook whose first cell is
...ANSWER
Answered 2022-Feb-22 at 08:27Seems to be a bug in ipykernel 6.9.0
- options that worked for me:
- upgrade to
6.9.1
(latest version as of 2022-02-22); e.g. viapip install ipykernel --upgrade
- downgrade to
6.8.0
(if upgrading messes with other dependencies you might have); e.g. viapip install ipykernel==6.8.0
QUESTION
skitlear is installed, however whe I run import sklearn
i get an error: ModuleNotFoundError: No module named 'sklearn'
please see bellow:
ANSWER
Answered 2022-Feb-18 at 12:59Go to anaconda cmd or miniconda cmd and put this
QUESTION
I am facing an error while running my model.
Input to reshape is a tensor with 327680 values, but the requested shape requires a multiple of 25088
I am using (256 * 256) images. I am reading the images from drive in google colab. Can anyone tell me how to get rid of this error?
my colab code:
...ANSWER
Answered 2022-Feb-15 at 09:17The problem is the default shape used for the VGG19
model. You can try replacing the input shape and applying a Flatten
layer just before the output layer. Here is a working example:
QUESTION
I just installed Python 3.10 on my laptop (Ubuntu 20.04).
Running a Jupyter Notebook inside of VS Code works with Python 3.9 but not with Python 3.10. I get the error message: Running cells with 'Python 3.10.0 64 bit' requires ipykernel installed or requires an update
.
Jalil Nourmohammadi Khiarak gave a more complete answere, it is now the new accepted answer.
Update January 2022It was a dumb error, I solved my problem (see accepted answer).
Things I tried:
- Clicking on reinstall, which runs:
ANSWER
Answered 2021-Nov-02 at 20:03I don't think ipykernel is compatible with 3.10.
Below is the message I receive when I try to install ipykernel with the following command: conda install -c anaconda ipykernel
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install ipykernel
git clone
cd ipykernel
pip install -e ".[test]"
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