The normal distribution is a continuous, bell-shaped probability distribution, symmetric around its mean and defined by its mean and standard deviation. About 68%, 95% and 99.7% of values lie within 1, 2 and 3 standard deviations of the mean. It models many phenomena and underlies many tests.
Example
from scipy.stats import norm
norm.cdf(1.96) # about 0.975