stuyDayGrabber | dirty Python script to grab the bell schedule

by afischer Python Version: Current License: MIT

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

kandi X-RAY | stuyDayGrabber Summary

stuyDayGrabber is a Python library. stuyDayGrabber has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However stuyDayGrabber build file is not available. You can download it from GitHub.

stuyDayGrabber is a quick and dirty program to grab the Bell schedule and lab rotation at Stuy. It pulls data from the stuy website and parses it into a readable and easy to use format. This was initially built for the new Spectator website, but I'm not sure if/how/when I will implement it.

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Quality

Security

License

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Support

stuyDayGrabber has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of stuyDayGrabber is current.

Quality

stuyDayGrabber has no bugs reported.

Security

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

License

stuyDayGrabber 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

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

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

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stuyDayGrabber Key Features

No Key Features are available at this moment for stuyDayGrabber.

stuyDayGrabber Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install stuyDayGrabber

You can download it from GitHub.
You can use stuyDayGrabber 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

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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