Metadata-Version: 2.1
Name: DS-OOP-Review
Version: 0.1.2
Summary: two modules
Home-page: https://github.com/Zebfred/DS-OOP-Review
Author: Zebfred
License: UNKNOWN
Description: # LSDS Object Oriented Programming Review Assignment
        
        Inside the `football` directory, you will find several files, including a blank `__init__.py`. Don't worry about that one right now. These files together can model several aspects of a football season including a player's statisctics, an individual football game, and a season.
        
        As is, these modules are fully functional (well, they run without errors). You can generate a season report by running `season.py`, and you can run the tests using `football_test.py`.
        
        That being said...
        
        Each file (`game.py`, `players.py`, `season.py`, `possible_values.py`, and `football_test.py`) contains at least one `TODO` inside a comment. That is where you can add things and try them out to see if you're understanding how this is all done.
        
        It makes the most sense to begin with `players.py` and `game.py` because they explain the class foundations for the rest of the files (`game.py` more so--since it is used in `season.py`).
        
        To run anything here or in your own, edited version, clone the repo and navigate to the `football` directory in your terminal.
        If you would like to run the tests or generate a season report, run `python filename.py` or `python3 filename.py` depending on your configuration with the appropriate choice of `football_test.py` or `season.py`.
        If you would like to interactively create instances of the `Player`, `Quarterback`, `Game`, or your own, added, classes and run different methods on them, run `python` or `python3` in terminal and `import` the appropriate module (file name without the `.py`) on the python shell (when you see `>>>`, for example).
        
        
        _Originally created by Joanne Jordan for Lambda School's Data Science program_
        https://github.com/jojordan3/LSDS-OOP-assignment
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
