jupyter | Jupyter metapackage for installation , docs and chat | Data Visualization library

 by   jupyter Python Version: Current License: BSD-3-Clause

kandi X-RAY | jupyter Summary

kandi X-RAY | jupyter Summary

jupyter is a Python library typically used in Analytics, Data Visualization, Jupyter applications. jupyter has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

Jupyter metapackage for installation and docs.
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            kandi-support Support

              jupyter has a highly active ecosystem.
              It has 14404 star(s) with 3714 fork(s). There are 656 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 195 open issues and 191 have been closed. On average issues are closed in 152 days. There are 10 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of jupyter is current.

            kandi-Quality Quality

              jupyter has 0 bugs and 0 code smells.

            kandi-Security Security

              jupyter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jupyter code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              jupyter 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.

            kandi-Reuse Reuse

              jupyter releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              jupyter saves you 56 person hours of effort in developing the same functionality from scratch.
              It has 213 lines of code, 3 functions and 5 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed jupyter and discovered the below as its top functions. This is intended to give you an instant insight into jupyter implemented functionality, and help decide if they suit your requirements.
            • Run Sphinx docs .
            • Install Sphinx docs .
            • Register custom CSS files .
            Get all kandi verified functions for this library.

            jupyter Key Features

            No Key Features are available at this moment for jupyter.

            jupyter Examples and Code Snippets

            Plot a Jupyter model .
            pythondot img1Lines of Code : 70dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def plot_model(model,
                           to_file='model.png',
                           show_shapes=False,
                           show_dtype=False,
                           show_layer_names=True,
                           rankdir='TB',
                           expand_nested=False,
                           dpi=96)  

            Community Discussions

            QUESTION

            Compute class weight function issue in 'sklearn' library when used in 'Keras' classification (Python 3.8, only in VS code)
            Asked 2022-Mar-27 at 23:14

            The classifier script I wrote is working fine and recently added weight balancing to the fitting. Since I added the weight estimate function using 'sklearn' library I get the following error :

            ...

            ANSWER

            Answered 2022-Mar-27 at 23:14

            After spending a lot of time, this is how I fixed it. I still don't know why but when the code is modified as follows, it works fine. I got the idea after seeing this solution for a similar but slightly different issue.

            Source https://stackoverflow.com/questions/69783897

            QUESTION

            How to Export Jupyter Notebook by VSCode in PDF format? (Windows 10)
            Asked 2022-Mar-07 at 15:10

            When I try to export my Jupyter Notebook in pdf format in VSCode like this:

            then I got this error:

            and jupyter output panel says:

            so i tried to install MikTeX and update the required packages, but still I can't export Jupyter Notebooks in PDF format by VSCode!
            how can I fix this problem?

            Note That I know i can do it by convert it to HTML and then with ctrl+p try to save it as pdf! but I want to convert it to pdf in straight way!

            ...

            ANSWER

            Answered 2021-Sep-03 at 21:20

            You can try following URL. Hope it will solve your issue

            https://code.visualstudio.com/docs/datascience/jupyter-notebooks#_export-your-jupyter-notebook

            I just tried in Linux(Ubuntu 20.04) and it worked for me

            You can follow this steps:

            1. sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-latex-recommended
            2. Active env where you have jupyter installed
            3. Execute this command: jupyter nbconvert --to pdf your_file.ipynb

            Output:

            Source https://stackoverflow.com/questions/69049818

            QUESTION

            How to undo/redo changes inside the selected cell in Jupyter notebook?
            Asked 2022-Feb-22 at 14:01

            I am using Jupyter notebook (from anaconda Jupyter lab) on Windows 10 and tried to undo/redo changes in the selected cell. However, I can only undo/redo changes in the whole notebook.

            For example, I edited cell#1 then cell#2. Say I want to undo changes in cell#1, so I go to cell#1 and press control+z, it will however undo the change in cell#2.

            My friend using Mac doesn't have this issue. Are there any settings for this? I searched online and didn't find anyone who has the same problem. It is so weird!

            ...

            ANSWER

            Answered 2021-Oct-14 at 20:04

            This global undo/redo is a new feature that enables Real Time Collaboration which was added in JupyterLab 3.1. It is indeed sub-optimal for many use cases.

            JupyterLab 3.2 allows to disable notebook-wide history tracking (see issue 10791 nad PR 10949), but with a caveat: when moving cells you may loose the undo history, which is why the setting is marked as experimental (it requires more work to be exposed or enabled by a default). To get the selective undo/redo please add:

            Source https://stackoverflow.com/questions/68763795

            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

            "Attempting to perform BLAS operation using StreamExecutor without BLAS support" error occurs
            Asked 2022-Feb-21 at 16:09

            my computer has only 1 GPU.

            Below is what I get the result by entering someone's code

            ...

            ANSWER

            Answered 2021-Oct-12 at 08:52

            For the benefit of community providing solution here

            This problem is because when keras run with gpu, it uses almost all vram. So we needed to give memory_limit for each notebook as shown below

            Source https://stackoverflow.com/questions/69401285

            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

            QUESTION

            ipykernel (Jupyter notebook/labs) cannot import name ''filefind" from traitlets.utils
            Asked 2022-Feb-06 at 10:03

            I installed Jupyter notebook and labs on and EC2 instance and for some reason I get the following error:

            ImportError: cannot import name 'filefind' from 'traitlets.utils' (/usr/lib/python3/dist-packages/traitlets/utils/init.py)

            Jupyter opens fine in the browser but I can't seem to be able to work in an python notebook.

            ...

            ANSWER

            Answered 2022-Feb-06 at 09:03
            Dirty initial fix (not recommended):

            Oke fixed it! It seems like the problem was that the "traitlets/utils/init.py" was empty. So I copy-pasted the code from GitHub and that worked.

            https://github.com/ipython/traitlets/blob/main/traitlets/utils/__init__.py

            I got this problem twice when I installed two different ec2 instances installing cuda and cudnn. So it might that this has something to do with the origins of this issue.

            Proper fix:

            The proper way to fix this problem is by upgrading/downgrading the library. Check the other answers to this post for guidance.

            Source https://stackoverflow.com/questions/69809832

            QUESTION

            lfortran in a jupyter notebook kills kernel
            Asked 2022-Jan-23 at 22:47

            I can't seem to get output from the lfortran jupyter kernel.

            I installed via conda install for:

            ...

            ANSWER

            Answered 2022-Jan-23 at 22:47

            The global scope in LFortran is special to enable interactivity and usage in a notebook and defines a set of additional rules. You actually don't need a program body to run any Fortran code there, just using the print statement directly will work:

            Source https://stackoverflow.com/questions/70825597

            QUESTION

            Pandas - How to Save A Styled Dataframe to Image
            Asked 2022-Jan-01 at 17:04

            I have styled a dataframe output and have gotten it to display how I want it in a Jupyter Notebook but I am having issues find a good way to save this as an image. I have tried https://pypi.org/project/dataframe-image/ but the way I have this working it seem to be a NoneType as it's a styler object and errors out when trying to use this library.

            This is just a snippet of the whole code, this is intended to loop through several 'col_names' and I want to save these as images (to explain some of the coding).

            ...

            ANSWER

            Answered 2022-Jan-01 at 17:04

            Was able to change how I was using dataframe-image on the styler object and got it working. Passing it into the export() function rather than calling it off the object directly seems to be the right way to do this.

            The .render() did get the HTML but was often losing much of the styling when converting it to image or when not viewed with Ipython HTML display. See comparision below.

            Working Code:

            Source https://stackoverflow.com/questions/70546823

            QUESTION

            embedding jupyter notebook/ google colab in Django app
            Asked 2021-Dec-25 at 13:51

            I wanted to build a website and embed the jupyter notebook functionality of being able to create cells and run python code within it into my website

            For creating a website I m using Django and I would like to embed either the google collab or jupyter notebook

            By the way I have researched enough and have been stuck with the StackOverflow links where there no answer about this or the one where they want to use django in jupyter notebook

            Thanks in advance for any guidance or any reference that you guys can provide.

            ...

            ANSWER

            Answered 2021-Dec-18 at 05:57
            You have many options to do that:

            Note:: I used "jupyter-lab" you can use "jupyter notebook"

            1- The first option to redirect to "jupyter notebook"

            django view.py

            Source https://stackoverflow.com/questions/70229330

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

            Vulnerabilities

            No vulnerabilities reported

            Install jupyter

            You can download it from GitHub.
            You can use jupyter like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            https://github.com/jupyter/jupyter.git

          • CLI

            gh repo clone jupyter/jupyter

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            git@github.com:jupyter/jupyter.git

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