ml_studygroup

by TylerKirby Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | ml_studygroup Summary

ml_studygroup is a Jupyter Notebook library. ml_studygroup has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

ml_studygroup

Support

Quality

Security

License

Reuse

Support

ml_studygroup has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

ml_studygroup has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ml_studygroup is current.

Quality

ml_studygroup has no bugs reported.

Security

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

License

ml_studygroup 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

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

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

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ml_studygroup Key Features

No Key Features are available at this moment for ml_studygroup.

ml_studygroup Examples and Code Snippets

No Code Snippets are available at this moment for ml_studygroup.

Community Discussions

No Community Discussions are available at this moment for ml_studygroup.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ml_studygroup

We will mostly work from Jupyter notebooks so you won't need an IDE. But if you wish to do more serious Python developement, then download PyCharm. The free community edition includes everything you need.
Install Python 3.6+ (brew install python for macs)
Install pip with curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
Install pipenv (brew install pipenv on mac, otherwise pip install pipenv)
Clone this repo and run pipenv install to install dependencies
Run pipenv shell to start virtual environment
Run jupyter notebook to start Jupyter server

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 .

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