piazza_resources_downloader | resources linked in piazza resources tab | Awesome List library

by warmspringwinds Python Version: Current License: No License

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

kandi X-RAY | piazza_resources_downloader Summary

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

A script to download all resources linked in piazza resources tab.

Support

Quality

Security

License

Reuse

Support

piazza_resources_downloader has a low active ecosystem.

It has 16 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of piazza_resources_downloader is current.

Quality

piazza_resources_downloader has no bugs reported.

Security

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

License

piazza_resources_downloader 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

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

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

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piazza_resources_downloader Key Features

No Key Features are available at this moment for piazza_resources_downloader.

piazza_resources_downloader Examples and Code Snippets

No Code Snippets are available at this moment for piazza_resources_downloader.

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 piazza_resources_downloader

You can download it from GitHub.
You can use piazza_resources_downloader 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

I have already extracted all the links and filenames for Machine Learning course in Tum. So in order to download it just do steps 1, 2, 6 from the aforementioned guide. But be careful while doing this. The links are changed sometimes and you can get no files in that case. Better use the first approach or just download the archive. Or you can just download the archived zip.

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