Machine epsilon, or just epsi for short, is defined as the largest floating-point number x
such that x + 1 = 1 in floating-point arithmetic. The experiment we did in class showed that
epsi is close to 10−16, which is why we say that IEEE floating-point can be accurate to about
16 decimal digits (in the default Python setting of a floating-point number, which is double
precision)