The examples in this chapter will be based upon the following configuration in IPython. One main difference in this setup is that in this chapter, we will be using SciPy, specifically its optimization and statistical features, so this has imports that are required for several of the examples:
In [1]: import pandas as pd import numpy as np import pandas.io.data as web from datetime import datetime import scipy as sp import scipy.optimize as scopt import scipy.stats as spstats import matplotlib.pyplot as plt import matplotlib.mlab as mlab %matplotlib inline pd.set_option('display.notebook_repr_html', False) pd.set_option('display.max_columns', 7) pd.set_option('display.max_rows', 10) pd.set_option('display.width', 82) pd.set_option('precision', 3)