bracketology

Pre-release

This release is a pre-release and may not be stable for production use.

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

Install from pip

pip install bracketology

Or download directly from PyPi

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)

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for bracketology 0.0.9-alpha
File	Size	Uploaded
bracketology-0.0.9-alpha.tar.gz	29.1 kB	Mar 9, 2020	Details

Download URL	bracketology-0.0.9-alpha.tar.gz
Size	29.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`0612a2f4c81478ce58810ea0f5097221ad8467d19e55d80dd671f249823bde91`
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Upload date	Mar 9, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6`