Git-Explore | play around with git and Gitub | Awesome List library

by ShraddhaAg Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Git-Explore Summary

Git-Explore is a Python library typically used in Awesome, Awesome List applications. Git-Explore has no bugs, it has no vulnerabilities and it has low support. However Git-Explore build file is not available. You can download it from GitHub.

A repository to play around with git and Gitub, learning along the way!.

Support

Quality

Security

License

Reuse

Support

Git-Explore has a low active ecosystem.

It has 1 star(s) with 2 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Git-Explore has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Git-Explore is current.

Quality

Git-Explore has no bugs reported.

Security

Git-Explore has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Git-Explore 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

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

Git-Explore 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.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Git-Explore

Get all kandi verified functions for this library.

Git-Explore Key Features

No Key Features are available at this moment for Git-Explore.

Git-Explore Examples and Code Snippets

No Code Snippets are available at this moment for Git-Explore.

Community Discussions

Trending Discussions on Awesome List

Is ESLint a Vim plugin?

R Extending each list level by new elements

QUESTION

Is ESLint a Vim plugin?

Asked 2022-Feb-12 at 01:35

Vim Awesome lists ESLint as a plugin: https://vimawesome.com/plugin/eslint. However, also on that page it says "...your plugins (and ESLint) are ..." implying ESLint is not a Vim plugin.

I am trying to work out how to apply ESLint to JavaScript files I am writing in Vim. I would like to do so (at least initially) without any plugins. I think it might help me to achieve this if I knew whether or not ESLint is a Vim plugin or not.

...

ANSWER

Answered 2022-Feb-12 at 01:35

No. It is a general linter for javascript. See https://eslint.org/

If you want to use ESLint in Vim, you can use a vim plugin (such as ALE or the eslint vim plugin) to help you. Or you can use the command line interface eslint offers if you don't want to use plugins.

Source https://stackoverflow.com/questions/71087803

QUESTION

R Extending each list level by new elements

Asked 2021-Apr-12 at 14:41

I'm looking for a way to automatically add new list elements/levels to an existing list:

my real-life use case has several thousand elements to add, so the manual example below for adding two elements is not feasible anymore,
I need a list because that's the format expected by an API I'm trying to access.

Example:

...

ANSWER

Answered 2021-Apr-12 at 14:41

Iterate over names using map or using the same arguments replace map with lapply in which case no packages are needed.

Source https://stackoverflow.com/questions/67060194

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

Vulnerabilities

No vulnerabilities reported

Install Git-Explore

You can download it from GitHub.
You can use Git-Explore 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.