August 2019
Intermediate to advanced
342 pages
9h 35m
English
To close the Jupyter Notebook argument, we will now try to insert a series of cells with example Python code inside, recalling the libraries and packages that we need, by performing the following steps:
# Execute plot() inline without calling show()%matplotlib inlineimport numpy as np import matplotlib.pyplot as plt plt.plot(np.arange(15), np.arange(15))
We should get the following output:

import numpy as np from sklearn.linear_model import LinearRegression# X is a matrix ...
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