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Deep-Diving into the world of Deep Learning and Trading

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Fruit prices
fruit	price
apple	2.05
pear	1.37
orange	3.09

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(
  subplot_kw = {'projection': 'polar'} 
)
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

\[ a^2 + b^2 = c^2 \]