data-science-101 | anyone | Awesome List library

by dssg Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | data-science-101 Summary

data-science-101 is a Jupyter Notebook library typically used in Awesome, Awesome List applications. data-science-101 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Data Science (for Social Good) 101.

Support

Quality

Security

License

Reuse

Support

data-science-101 has a low active ecosystem.

It has 88 star(s) with 35 fork(s). There are 154 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of data-science-101 is current.

Quality

data-science-101 has no bugs reported.

Security

data-science-101 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

data-science-101 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

data-science-101 releases are not available. You will need to build from source code and install.

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 data-science-101

Get all kandi verified functions for this library.

data-science-101 Key Features

No Key Features are available at this moment for data-science-101.

data-science-101 Examples and Code Snippets

Create a Data Science Service .

python

Lines of Code : 20

License : Permissive (MIT License)

Copy

def create_vm(vm_name: str, vm: dict, username: str, password: str):
    print_formatted_text(
        HTML(
            (
                "Creating the Data Science VM. "
                "This may take up a few minutes..."
            )
        )

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 data-science-101

You can download it from GitHub.

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: