Metadata-Version: 1.1
Name: llama-slobber
Version: 0.0.92
Summary: Slobr utilities
Home-page: https://github.com/pypa/sampleproject
Author: Warren Usui
Author-email: warrenusui@gmail.com
License: UNKNOWN
Description: # LLAMA SLOBBER
        
        Llama_slobber is a package of python3 tools useful for Learned League data analysis.
        
        It consists of screen scraping routines which can be used to extract data from Learned League web pages, calculation routines for various Llama Slobber
        statistics, and some formatting routines to help generate web pages and
        csv files.
        
        ## 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`.
        
        ## 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.
        
        ## USAGE
        
        All of the methods documented in the files listed in the *Further Documentaion*
        section of this document can be used by importing the method and calling the
        method with the appropriate variables.  For example, the following
        code will caculate hun values for the B_Pacific rundle during season 78,
        and print the hun values for 'usuiw' as an html page
        
        ```python
        from llama_slobber import get_rundle_comp
        from llama_slobber import gen_html_table
        .
        .
        .
        foo = get_rundle_comp(78, 'B_Pacific', 6)
        print(gen_html_table('usuiw', foo['usuiw']))
        ```
        
        ## Futher Documentation
        
          * [Screen Scraping API](https://github.com/wusui/llama_slobber/blob/master/SCRAPING_API.md)
          * [Metrics API](https://github.com/wusui/llama_slobber/blob/master/METRICS_API.md)
          * [Formatting API](https://github.com/wusui/llama_slobber/blob/master/FORMAT_API.md)
         
        ## Author
        
          * Warren Usui (warrenusui@gmail.com)
        
        ## License
        
        This project is licensed under the MIT License
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
