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Slobr utilities

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# LLAMA SLOBBER

Llama_slobber is a package of python3 tools useful for Learned League data analysis.

Right now, it consists of screen scraping routines which can be used to extract data from Learned League web pages, a HUN number calculator, and some minor formatting routines.

## Name Origin

[Learned League](http://www.learnedleague.com) is a website hosting a series of on-line trivia tournaments (see this [Washington Post article](https://www.washingtonpost.com/lifestyle/style/the-coolest-weirdest-internet-community-youll-never-be-able-to-join/2014/08/20/3c3f565e-26eb-11e4-958c-268a320a60ce_story.html?noredirect=on&utm_term=.16ba008490a5) for more information). Due to the fact that Learned League starts with the letters LL, members of this league tend to refer to themsleves as llamas.

During some on-line discussion on this site, someone off-handedly refered to some members of the group as Learned League Sabrmetricians which definitely is the wrong term. Sabrmetrics refers to the analysis of baseball data performed by the [Society of American Baseball Research](https://sabr.org). We were clearly different. So I have started the Society of Learnedleague Obscure and Byzantine Reseach (abbreviated SLOBR), and developed this package to aid others in doing analysis of Learned League data.

## Installation

Llama_slobber has been packaged on the [Python Package Index website](https://pypi.org) and can be downloaded using the following command: python -m pip install llama_slobber. It is frequently updated, so in order to get the most recent version run the following:

` python -m pip uninstall llama_slobber python -m pip install llama_slobber `

## logindata.ini file

In order to use the tools in llama_slobber, one must be able to login to the Learned League website. So before any of these tools can work, the user must create a file named logindata.ini which would contain the following:

` [DEFAULT] username = <your Learned League user name> password = <your Learned League user password> `

This logindata.ini file should be placed in the directory from which the user’s python code will be run.

## Futher Documentation

## Author

## License

This project is licensed under the MIT License

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