ajschumacher

import random
import math

def mean(elements):
    return sum(elements) / len(elements)

def euclidean_dist(first, second):
    assert len(first) == len(second)
    return sum((f - s)**2 for f, s in zip(first, second))**0.5

ajschumacher

# inspired by and based on:
# https://julien.danjou.info/python-exceptions-guide/
# https://github.com/jd/julien.danjou.info/blob/master/bin/generate-python-exceptions-graph.py

import builtins

edges = set()
synonyms = {}
for name in dir(builtins):
    item = getattr(builtins, name)

ajschumacher

SQL workshop!

---

Get everything you can about people.

select * from people

-- comments

ajschumacher

chi-squared test

import scipy.stats

obs = np.array([[a, b],
                [c, d]])
_, p, _, _ = scipy.stats.chi2_contingency(obs)