prob140

A Berkeley library for probability theory.

Written for Prob140 (prob140.org) by Jason Zhang and Dibya Ghosh.

For documentation and examples, visit prob140.org/prob140

Installation

Use pip for installation:

pip install prob140

You must also have an updated installation of Berkeley's Data Science library:

pip install datascience

If you are using prob140 in a notebook, use the following header:

from datascience import *
from prob140 import *
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('fivethirtyeight')

Changelog

See CHANGELOG for full changelog