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Analyze and simulate NCAA march madness tournaments

Project description

Bracketology logo

The goal of bracketology is to speed up the analysis of NCAA march madness data and help develop algorithms for filling out brackets.

Documentation:

https://bracketology.readthedocs.io/en/latest/

GitHub Repo:

https://github.com/stahl085/bracketology

Issue Tracker:

https://github.com/stahl085/bracketology/issues

Backlog:

https://github.com/stahl085/bracketology/projects/1?fullscreen=true

PyPI:

https://pypi.org/project/bracketology/

Before You Start

Here are the main things you need to know:
  • The main parts of this package are the Bracket objects and simulator functions in the simulators module

  • A Bracket is composed of Team and Game objects

  • Game objects have two Team objects as attributes, and the round number

  • Teams have a name, seed, and dictionary for statistics

  • Simulator functions have 1 argument of type Game, and return the winning Team of that Game

Installation

Install from pip

pip install bracketology

Or download directly from PyPi

Getting Started

Import bracketology and create a bracket from last year.

from bracketology import Bracket, Game, Team

# Create a bracket object from 2019
year = 2019
b19 = Bracket(year)

Project details


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Source Distribution

bracketology-0.0.9-alpha.tar.gz (29.1 kB view hashes)

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