nuka | provisionning tool for ops who can dev | Continuous Deployment library

by bearstech Python Version: Current License: GPL-3.0

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

kandi X-RAY | nuka Summary

nuka is a Python library typically used in Devops, Continuous Deployment, Docker, Grafana applications. nuka has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

provisionning tool for ops who can dev

Support

Quality

Security

License

Reuse

Support

nuka has a low active ecosystem.

It has 17 star(s) with 2 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 61 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nuka is current.

Quality

nuka has 0 bugs and 0 code smells.

Security

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

nuka code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nuka is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

nuka 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.

nuka saves you 2520 person hours of effort in developing the same functionality from scratch.

It has 5481 lines of code, 439 functions and 80 files.

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

Top functions reviewed by kandi - BETA

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

Start the task
Updates the given data
Create a new process
Update the result
Run the task
Log the result to the host
Cancel scheduled job
Return a tar archive
Manage files
Send message to stdout
Install kinto
Runs virtualenv
Prepare configuration
Install packages
Install apt packages
Build reports
Update the inventory
Start the Docker API
Run apt - get
Get the arguments for the create node
Return the diff of the files
Install master
Deserializes the given stream into a Python object
Execute git
Pre - process the configuration
Start setup task

Get all kandi verified functions for this library.

nuka Key Features

No Key Features are available at this moment for nuka.

nuka Examples and Code Snippets

No Code Snippets are available at this moment for nuka.

Community Discussions

Trending Discussions on nuka

If cell value contains value from list (wildcard match), retrieve data from a specific column

QUESTION

If cell value contains value from list (wildcard match), retrieve data from a specific column

Asked 2020-Mar-25 at 18:52

I am using Google Sheets and have two sheets, Sheet1 and Sheet2. I want to look if a certain cell in Sheet1 contains a value from column A in Sheet2. The match should be done via wildcard *value*. If there is a match, the corresponding value in column B (Sheet 2) should be retrieved.

Sheet2 looks like this: Two columns, column A is what I want to search for and column B is what I want to return if there is a match.

...

ANSWER

Answered 2020-Mar-25 at 18:51

try:

Source https://stackoverflow.com/questions/60855324

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

Vulnerabilities

No vulnerabilities reported

Install nuka

You can download it from GitHub.
You can use nuka 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 .

Find more information at: