Implementing-cryptography-using-python

Chapter 1 ■ Introduction to Cryptography and Python 7
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
mu, sigma = 100, 15
x = mu + sigma*np.random.randn(10000)
# the histogram of the data
n, bins, patches = plt.hist(x, 50, normed=1, facecolor='green',
alpha=0.75)
# add a 'best fit' line
y = mlab.normpdf( bins, mu, sigma)
l = plt.plot(bins, y, 'r--', linewidth=1)
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title(r'$\mathrm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
plt.axis([40, 160, 0, 0.03])
plt.grid(True)
plt.show()
Save the file as matplot.py and execute the file. The preceding Python recipe
will generate a plot using NumPy and the Matplotlib library (see Figure 1.2).
Figure 1.2: Matplot.py test
Installing the Cryptography Package
Python has a Cryptography package that provides cryptographic recipes and
primitives to Python developers. It is designed to be your “cryptographic standard
library.” As of this writing, it supports Python 2.7, Python 3.4+, and PyPy
5.4+. You can install the Cryptography package by using Pip3. The syntax is
as follows:
$ pip3 install cryptography