nbclient | client library for executing notebooks

 by   jupyter Python Version: 0.10.0 License: BSD-3-Clause

kandi X-RAY | nbclient Summary

kandi X-RAY | nbclient Summary

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

NBClient lets you execute notebooks. A client library for programmatic notebook execution, NBClient is a tool for running Jupyter Notebooks in different execution contexts, including the command line.
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            kandi-support Support

              nbclient has a low active ecosystem.
              It has 115 star(s) with 48 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 33 open issues and 66 have been closed. On average issues are closed in 50 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nbclient is 0.10.0

            kandi-Quality Quality

              nbclient has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nbclient 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

              nbclient releases are available to install and integrate.
              Deployable package is available in PyPI.
              nbclient 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nbclient and discovered the below as its top functions. This is intended to give you an instant insight into nbclient implemented functionality, and help decide if they suit your requirements.
            • Output a single message
            • Sanitize obj
            • Publish a message
            • Send a COMM_msg
            • Sends the current state of all outputs
            • Run a notebook
            • Execute a notebook
            • Setup cli
            • Read content of file
            • Clear the outputs from the kernel
            • Read requirements from file
            • Read the contents of a file
            Get all kandi verified functions for this library.

            nbclient Key Features

            No Key Features are available at this moment for nbclient.

            nbclient Examples and Code Snippets

            No Code Snippets are available at this moment for nbclient.

            Community Discussions

            QUESTION

            Hide “Requirement already satisfied” warning from pip in Windows cmd
            Asked 2021-Jun-13 at 08:01

            This question is similar to: Hide "Requirement already satisfied" warning but I want to have solution working in Windows cmd.

            I have a cmd script that automatically prepares virtual environment. Part of the script installs requirements:

            ...

            ANSWER

            Answered 2021-Jun-13 at 08:01

            This shows only messages without Requirement already satisfied:

            Source https://stackoverflow.com/questions/67953925

            QUESTION

            Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package
            Asked 2021-May-13 at 04:04

            This question appears to have been answered before, but none of the answers helped in my case. First I should say that I've followed the OSMnx Installation steps exactly. Then tried to run the following code in a Jupyter Notebook:

            ...

            ANSWER

            Answered 2021-May-13 at 04:04

            You have installed an extremely old version of OSMnx. Your conda list output shows you have version 0.7.3 installed, and that was released 3 or 4 years ago. It's so old that it's incompatible with the modern features of GeoPandas and pyproj, including the modern CRS object that's causing your error. I'm not clear how you did it! My best guess is you installed using one of the old tags on this page, which do point to version 0.7.3.

            This should be fixed by removing the old environment and then following the installation instructions here, like:

            Source https://stackoverflow.com/questions/67510332

            QUESTION

            Push rejected, fails Python App to Heroku
            Asked 2021-May-09 at 08:14

            Iam pushing my python app to heroku and it failed at dependencies, it shows error that Rust packet manager is not installed, but it is installed on my pc.

            All Depedencies went fine, but at the end, iam getting error, here is log

            ...

            ANSWER

            Answered 2021-May-09 at 08:14

            The rust dependency is bring by pywinpty that needs also MSVC. This package

            PyWinpty allows creating and communicating with Windows processes that receive input and print outputs via console input and output pipes. PyWinpty supports both the native ConPTY interface and the previous, fallback winpty library.

            Then it is not needed on stack heroku-20 that is Ubuntu.

            Removing pywinpty from requirements.txt should help.

            Source https://stackoverflow.com/questions/67394704

            QUESTION

            Updating packages in conda
            Asked 2021-Apr-14 at 20:26

            I have a problem with updating packages in conda. The list of my installed packages is:

            ...

            ANSWER

            Answered 2021-Apr-14 at 20:26

            Channel pypi means that the package was installed with pip. You may need to upgrade it with pip as well

            Source https://stackoverflow.com/questions/67097308

            QUESTION

            Jupyter Notebook Cannot Connect to Kernel, Likely due to Zipline / AssertionError
            Asked 2021-Apr-12 at 04:17

            All of my virtual environments work fine, except for one in which the jupyter notebook won't connect for kernel. This environment has Zipline in it, so I expect there is some dependency that is a problem there, even though I installed all packages with Conda.

            I've read the question and answers here, and unfortunately downgrading tornado to 5.1.1 didn't work nor do I get ValueErrors. I am, however, getting an AssertionError that appears related to the Class NSProcessInfo.

            I'm on an M1 Mac. Log from terminal showing the error below, and my environment file is below that. Can someone help me get this kernel working? Thank you!

            ...

            ANSWER

            Answered 2021-Apr-04 at 18:14

            Figured it out.

            What works:

            Source https://stackoverflow.com/questions/66907180

            QUESTION

            Installing module using Anaconda caused issues on my Virtual Environment
            Asked 2021-Mar-31 at 19:41

            I attempted to update pandas_datareader on my Python 3.5.2 virtual Environment using Anaconda like this:

            ...

            ANSWER

            Answered 2021-Mar-31 at 19:41

            At the end, I ended up solving this by rolling back the changes I made using conda list --revisions to find out until which previous set up I had to roll back to, then afterwards I ran conda install --revision N (where N is the revision you want to trace back to). Suppose the changes you made are rev 4, you want to undo them, and sit back again under rev 3 (your previously "known and working" environment you had), so you run conda install --revision 3 for that case.

            Afterwards I re-installed pandas_datareader with python -m pip install pandas-datareader and everything went good again.

            Thanks anyways and I hope if someone else runs into this issue, can find this post valuable.

            Source https://stackoverflow.com/questions/66891673

            QUESTION

            Telegram bot on Heroku returns ModuleNotFoundError
            Asked 2021-Feb-25 at 18:00

            I've built this telegram bot yesterday, and it ran smoothly on Heroku.

            However, today I added a new package python-google-places and I attempted to push to Heroku but received the following errors in Heroku's log:

            ...

            ANSWER

            Answered 2021-Feb-24 at 15:37

            Pipfile is redundant for Heroku. But it is ok to use it for development.

            Most probably that you are erasing it from dependencies using pipenv. Try to add to Pipfile and then do pip freeze

            Source https://stackoverflow.com/questions/66351049

            QUESTION

            Streamlit: How do I correctly add my python packages to the requirements.txt?
            Asked 2021-Jan-22 at 08:29

            I want to try out Streamlit Sharing (https://www.streamlit.io/sharing). This is my locally working code:

            streamlit_app.py

            ...

            ANSWER

            Answered 2021-Jan-22 at 08:29

            It's not sklearn but actually it is scikit-learn.
            See here
            https://scikit-learn.org/stable/install.html

            You can also manually change the name of sklearn to scikit-learn by opening requirements.txt file.

            Source https://stackoverflow.com/questions/65841509

            QUESTION

            problems using local jupyter with google colab
            Asked 2021-Jan-21 at 18:52

            I am using jupyter notebook with google colab, on Ubuntu 20.04LTS with Python 3.8.5.

            Problems I face are:

            1. connection drops suddenly. I mean, to say, colab never executes a cell, instead it just keeps waiting. By waiting, I mean, the cell I run always looks like this and never turns into this: . But, colab does say that I am connected to an instance: .
            2. everytime I write something and wait for autocomplete to show suggestions, I receive a TypeError that says, there was unexpected keyword argument 'column'. Here's the complete error message right from the launch of jupyter:
            ...

            ANSWER

            Answered 2021-Jan-21 at 18:52

            The second issue is caused by your jedi version. You can fix it with:

            Source https://stackoverflow.com/questions/65747436

            QUESTION

            Trouble installing turbodbc
            Asked 2021-Jan-11 at 20:49

            I am attempting to install turbodbc on my Ubuntu 20.10 machine.
            My specs are as follows: pip 20.2.4, Python 3.8.5 , gcc (Ubuntu 10.2.0-13ubuntu1) 10.2.0

            I have attempted the solutions provided in the previous posts here and and here.

            I am getting this error message

            ...

            ANSWER

            Answered 2021-Jan-11 at 20:49

            Boost is not installed. You can try this

            Source https://stackoverflow.com/questions/65674126

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

            Vulnerabilities

            No vulnerabilities reported

            Install nbclient

            In a terminal, run:.

            Support

            See ReadTheDocs for more in-depth details about the project and the API Reference.
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            Install
          • PyPI

            pip install nbclient

          • CLONE
          • HTTPS

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

          • CLI

            gh repo clone jupyter/nbclient

          • sshUrl

            git@github.com:jupyter/nbclient.git

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