gutentag | A good , simple , solid tagging extension | Application Framework library

by pat Ruby Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | gutentag Summary

gutentag is a Ruby library typically used in Server, Application Framework, Ruby On Rails applications. gutentag has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A good, simple, solid tagging extension for ActiveRecord. This was initially built partly as a proof-of-concept, partly to see how a tagging gem could work when it's not all stuffed within models, and partly just because I wanted a simpler tagging library. It's now a solid little tagging Rails engine. If you want to know more, read this blog post.

Support

Quality

Security

License

Reuse

Support

gutentag has a low active ecosystem.

It has 380 star(s) with 35 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 41 have been closed. On average issues are closed in 36 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gutentag is current.

Quality

gutentag has 0 bugs and 0 code smells.

Security

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

gutentag code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gutentag is licensed under the MIT License. This license is Permissive.

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

Reuse

gutentag releases are not available. You will need to build from source code and install.

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

gutentag saves you 414 person hours of effort in developing the same functionality from scratch.

It has 1093 lines of code, 94 functions and 39 files.

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

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gutentag Key Features

No Key Features are available at this moment for gutentag.

gutentag Examples and Code Snippets

No Code Snippets are available at this moment for gutentag.

Community Discussions

Trending Discussions on gutentag

Pandas dataframe manipulating with long string column to 2 columns dynamically

How do I get markdown snippets with Ultisnip to work within math in vim?

append multiple columns to df while keeping other column values

QUESTION

Pandas dataframe manipulating with long string column to 2 columns dynamically

Asked 2021-Jul-01 at 12:11

I have dataframe:

id greetingsname 1 hello+peter|goodbye+john 2 hi+cheff|gutentag+rudolf|goodafternoon+Alex

and i want

id greeting name 1 hello peter 1 goodbye john 2 hi cheff 2 gutentag rudolf 2 goodafternoon Alex

I dont know, how dynamically split column greetingsname, to get what I want, because column greetingsname has different string lengths. But the delimeter distribution remains the same greeting DELIMETER(+) name DELIMETER(|) greeting DELIMETER(+) name

And in this sense it can have different lengths (several names and greetings and in another column a different number of names and greetings)

Thx

...

ANSWER

Answered 2021-Jul-01 at 12:11

We can try extractall

Source https://stackoverflow.com/questions/68209758

QUESTION

How do I get markdown snippets with Ultisnip to work within math in vim?

Asked 2021-Apr-08 at 02:06

For example, I have this custom snippet:

...

ANSWER

Answered 2021-Apr-08 at 02:06

In this case the snippet is not expanded because it is preceded by $ without any whitespace in between. Try adding i to the first line of the snippet:

Source https://stackoverflow.com/questions/66995801

QUESTION

append multiple columns to df while keeping other column values

Asked 2020-Nov-11 at 07:23

I have a df with multiple authors associated with one title and location:

...

ANSWER

Answered 2020-Nov-11 at 07:23

Use df.melt with df.replace to replace None values to NaN and df.dropna to drop NaN.

Lastly, use df.sort_values at last to sort the rows on column title:

Source https://stackoverflow.com/questions/64781109

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

Vulnerabilities

No vulnerabilities reported

Install gutentag

You can download it from GitHub.
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.