jupyter-zeppelin | Conversion utility from Zeppelin notes to Jupyter notebooks | Code Editor library

by rdblue Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | jupyter-zeppelin Summary

jupyter-zeppelin is a Python library typically used in Editor, Code Editor, Jupyter applications. jupyter-zeppelin has no bugs, it has no vulnerabilities and it has low support. However jupyter-zeppelin build file is not available. You can download it from GitHub.

Conversion utility from Zeppelin notes to Jupyter notebooks.

Support

Quality

Security

License

Reuse

Support

jupyter-zeppelin has a low active ecosystem.

It has 42 star(s) with 23 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 716 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jupyter-zeppelin is current.

Quality

jupyter-zeppelin has 0 bugs and 0 code smells.

Security

jupyter-zeppelin has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jupyter-zeppelin code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jupyter-zeppelin does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

jupyter-zeppelin releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

jupyter-zeppelin saves you 54 person hours of effort in developing the same functionality from scratch.

It has 142 lines of code, 6 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Convert zeppelin to zeppelin
Convert a parsed notebook to notebooks
Convert a table to HTML
Convert a table cell to HTML
Write notebook to file
Reads a text file

Get all kandi verified functions for this library.

jupyter-zeppelin Key Features

No Key Features are available at this moment for jupyter-zeppelin.

jupyter-zeppelin Examples and Code Snippets

No Code Snippets are available at this moment for jupyter-zeppelin.

Community Discussions

Trending Discussions on jupyter-zeppelin

Jenkins docker removes generated files after stage completion

QUESTION

Jenkins docker removes generated files after stage completion

Asked 2020-Sep-10 at 06:03

I am building a jenkins pipeline where I am trying to convert zeeplin/jupyter notebook jsons to md files. I need nb2md installed for converting json to md files so I am using docker image for one of the stage that converts the files however as soon as that stage is completed the dockers removes all the files. I wanted to take this files and commit to git in next stage as the files are gone I am not able to do that. I moved git commit step with docker too but then I get git not found on docker. Below is my jenkins files:

...

ANSWER

Answered 2020-Sep-10 at 06:03

Use archiveArtifacts to keep files between steps. Use args on docker step to mount host folders.

Source https://stackoverflow.com/questions/63822451

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

Vulnerabilities

No vulnerabilities reported

Install jupyter-zeppelin

You can download it from GitHub.
You can use jupyter-zeppelin 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.