3 Computational tools

Contents
In [1]: import numpy as np

In [2]: np.random.seed(123456)

In [3]: np.set_printoptions(precision=4, suppress=True)

In [4]: import pandas as pd

In [5]: import matplotlib

In [6]: matplotlib.style.use('ggplot')

In [7]: import matplotlib.pyplot as plt

In [8]: plt.close('all')

In [9]: pd.options.display.max_rows=8