Machine epsilon, or just $\backslash$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

$\backslash$epsi is close to $1016,$ 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$)$