Let \((H_s(n))_{n \ge 1}\) be an \(s-\) dimensional Halton’s sequence, and let \(\mathcal {H}_{s+1,N}=(H_s(n),n/N)_{n=0}^{N-1}\) be the \(s+1-\) dimensional Hammersley’s point set. Let \(D({\textbf {x}},(H_n)_{n=0}^{N-1})\) be the local discrepancy of \((H_n)_{n=0}^{N-1}\) , and let \(D_{s,p} ( (H_n)_{n=0}^{N-1})\) be the \(L_p\) discrepancy of \((H_n)_{n=0}^{N-1}\) . It is known that \(\limsup _{N \rightarrow \infty } (\log N)^{-s/2} D_{s,p} ( H_{s}(N) )_{n=0}^{N-1} >0\) . In this paper, we prove that \(\begin{aligned} D_{s,p} (( H_{s}(N) )_{n=0}^{N-1}) =O( \log ^{s/2} N) \quad \mathrm{for} \; \; N \rightarrow \infty . \end{aligned}\) That is, we found the smallest possible order of magnitude of \(L_p\) discrepancy of Halton’s sequence. Then, we prove the Central Limit Theorem for Hammersley’s net: \(\begin{aligned} D(\bar{{\textbf {x}}},\mathcal {H}_{s+1,N} ) /D_{s+1,2}(\mathcal {H}_{s+1,N}) {\mathop {\rightarrow }\limits ^{w}} \mathcal {N}(0,1), \end{aligned}\) where \(\bar{{\textbf {x}}}\) is a uniformly distributed random variable in \([0,1]^{s+1}\) . The main tool is the theorem on \(\mathbbm {p}\) -adic logarithmic forms.