ipykernel | IPython Kernel for Jupyter | Code Editor library

by ipython Python Version: 6.29.4 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | ipykernel Summary

ipykernel is a Python library typically used in Editor, Code Editor, Jupyter applications. ipykernel has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ipykernel build file is not available. You can install using 'pip install ipykernel' or download it from GitHub, PyPI.

This package provides the IPython kernel for Jupyter.

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Quality

Security

License

Reuse

Support

ipykernel has a low active ecosystem.

It has 552 star(s) with 344 fork(s). There are 35 watchers for this library.

There were 9 major release(s) in the last 6 months.

There are 228 open issues and 227 have been closed. On average issues are closed in 204 days. There are 25 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ipykernel is 6.29.4

Quality

ipykernel has 0 bugs and 0 code smells.

Security

ipykernel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ipykernel code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ipykernel is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ipykernel releases are available to install and integrate.

Deployable package is available in PyPI.

ipykernel has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 7202 lines of code, 692 functions and 70 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ipykernel and discovered the below as its top functions. This is intended to give you an instant insight into ipykernel implemented functionality, and help decide if they suit your requirements.

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 .

Get all kandi verified functions for this library.

ipykernel Key Features

No Key Features are available at this moment for ipykernel.

ipykernel Examples and Code Snippets

No Code Snippets are available at this moment for ipykernel.

Community Discussions

Trending Discussions on ipykernel

ipykernel_launcher processes are consuming memory, Not able to kill

F2 rename variable doesn't work in vscode + jupyter notebook + python

Cannot classify with my TensorFlow model: FailedPreconditionError

Can not squeeze dim[1], expected a dimension of 1, got 2 [[{{node predict/feature_vector/SpatialSqueeze}}]] [Op:__inference_train_function_253305]

Import Error when installing python3 kernel for Jupyter Notebook

RDKit crashing Notebook Kernel on import

iPyKernel throwing "TypeError: object NoneType can't be used in 'await' expression"

Cant import sklearn

Error : Input to reshape is a tensor with 327680 values, but the requested shape requires a multiple of 25088

Running cells with Python 3.10 requires ipykernel installed

QUESTION

ipykernel_launcher processes are consuming memory, Not able to kill

Asked 2022-Apr-03 at 18:03

What are these zombie ipykernel_launcher process in my machine, which are hogging to much memory:

This is output of htop command, but I ps for those processes,(to kill them) I do not see them as:

ps -ef|grep ipykernel

Not sure, how to get rid of these memory hogs!

...

ANSWER

Answered 2022-Apr-03 at 18:03

The 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: 0

Shut 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:

Source https://stackoverflow.com/questions/71722066

QUESTION

F2 rename variable doesn't work in vscode + jupyter notebook + python

Asked 2022-Mar-23 at 04:56

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 02:49

Notice 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.

Source https://stackoverflow.com/questions/70729502

QUESTION

Cannot classify with my TensorFlow model: FailedPreconditionError

Asked 2022-Mar-22 at 08:24

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 08:24

Since you are initializing a tensorflow (version < 2) session with tfc.InteractiveSession() you might need to initialize all values before running your session by calling:

Source https://stackoverflow.com/questions/71568484

QUESTION

Can not squeeze dim[1], expected a dimension of 1, got 2 [[{{node predict/feature_vector/SpatialSqueeze}}]] [Op:__inference_train_function_253305]

Asked 2022-Mar-17 at 07:09

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 07:09

Make sure you have the same image size (224, 224) in flow_from_directory and in the hub.KerasLayer. Here is a working example:

Source https://stackoverflow.com/questions/71505897

QUESTION

Import Error when installing python3 kernel for Jupyter Notebook

Asked 2022-Mar-16 at 08:46

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 00:38

I solved this issue by uninstalling and reinstalling Anaconda.

Source https://stackoverflow.com/questions/69870733

QUESTION

RDKit crashing Notebook Kernel on import

Asked 2022-Mar-09 at 04:55

I installed RDKit via pip like this.

...

ANSWER

Answered 2022-Mar-09 at 04:55

I just installed the lower version of RDKit and it worked fine.

Source https://stackoverflow.com/questions/71397986

QUESTION

iPyKernel throwing "TypeError: object NoneType can't be used in 'await' expression"

Asked 2022-Feb-22 at 08:29

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 08:27

Seems 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. via pip install ipykernel --upgrade
downgrade to 6.8.0 (if upgrading messes with other dependencies you might have); e.g. via pip install ipykernel==6.8.0

Source https://stackoverflow.com/questions/71116130

QUESTION

Cant import sklearn

Asked 2022-Feb-19 at 10:59

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 12:59

Go to anaconda cmd or miniconda cmd and put this

Source https://stackoverflow.com/questions/71173864

QUESTION

Error : Input to reshape is a tensor with 327680 values, but the requested shape requires a multiple of 25088

Asked 2022-Feb-15 at 09:17

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 09:17

The 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:

Source https://stackoverflow.com/questions/71123226

QUESTION

Running cells with Python 3.10 requires ipykernel installed

Asked 2022-Feb-09 at 09:03

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.

Update February 2022

Jalil Nourmohammadi Khiarak gave a more complete answere, it is now the new accepted answer.

Update January 2022

It 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 20:03

I 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

Source https://stackoverflow.com/questions/69785084

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ipykernel

After that, all normal ipython commands will use this newly-installed version of the kernel.
git clone
cd ipykernel
pip install -e ".[test]"

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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