Hands-On Application Development with PyCharm

Running the code

Following our discussion on working with a scientific project in PyCharm, in the main.py file, we will input the following sample code:

import numpy as npimport matplotlib.pyplot as pltN = 100x = np.random.normal(0, 1, N)y = np.random.normal(2, 3, N)plt.hist(x, alpha=0.5, label='x')plt.hist(y, alpha=0.5, label='y')plt.legend(loc='upper right')plt.show()

Using NumPy, we are simply creating two sample 100-element datasets from normal distributions (x from a distribution with a mean of 0 and a standard deviation of 1, y from a distribution with a mean of 2 and a standard deviation of 3). Then, we draw their corresponding histograms using Matplotlib.

Now, execute the program. You will see the corresponding output appear in your ...