gistfile1.py

# pandas and numpy for data manipulation
import pandas as pd
import numpy as np

# scipy for algorithms
import scipy
from scipy import stats

# pymc3 for Bayesian Inference, pymc built on t
import pymc3 as pm
import theano.tensor as tt
import scipy

# matplotlib for plotting
import matplotlib.pyplot as plt
%matplotlib inline
from IPython.core.pylabtools import figsize
import matplotlib

import json
s = json.load(open('style/bmh_matplotlibrc.json'))
matplotlib.rcParams.update(s)
matplotlib.rcParams['figure.figsize'] = (10, 3)
matplotlib.rcParams['font.size'] = 14

# Number of samples for Markov Chain Monte Carlo
N_SAMPLES = 5000