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The Glivenko-Cantelli theorem states that for the empirical distribution function $F_n$ of iid real observations with distribution function $F$,almost surely.

Apply part (a) to $\mathcal{G}=\{1_{(-\infty ,t]}:t\in \mathbb{R}\}$. For each $\epsilon >0$, choose finitely many quantile cutpoints so that the $P$-mass between consecutive cutpoints is at most $\epsilon$, treating atoms as cutpoints themselves. Indicators at adjacent cutpoints give finite $L^1(P)$ brackets of width at most $\epsilon$. Using the strong law for the finite bracket endpoints and then intersecting the probability-one events for $\epsilon =1/m$ gives the almost-sure conclusion.