Lemma 1.4. says for $n=1$ and $p=0$ that a smooth function can be written as
$$
f(x)=f(0)+(x-0)\cdot g_1(x) \text{ with } g_1(0)=\left. \dfrac{\partial f}{\partial x}\right|_{x=0}=\left. \dfrac{df}{dx}\right|_{x=0} =f'(0)
$$
During the proof, we saw that $g_1(x)$ is smooth again. Now we can therefore apply Lemma 1.4 again, this time not on $f(x)$ but on $g_1(x).$ This gives us an equation
$$
g_1(x)=g_1(0)+(x-0)\cdot g_2(x) \text{ with } g_2(0)=\left. \dfrac{\partial g_1}{\partial x}\right|_{x=0}=\left. \dfrac{dg_1}{dx}\right|_{x=0} =g_1'(0).
$$
If we go on and on, then we get increasing indices for ever new functions $g_i,$ but the equation remains:
$$
g_i(x)=g_i(0)+(x-0)\cdot g_{i+1}(x) \text{ with } g_{i+1}(0)=\left. \dfrac{\partial g_i}{\partial x}\right|_{x=0}=\left. \dfrac{dg_i}{dx}\right|_{x=0} =g_i'(0)
$$
Here we have $0$ as the point $p,$ $g_i$ as the function $f$, and $x$ as the variable. Since the dimension $n=1$ is only one, partials turn into common derivatives of a real function.
It is important to note that in general $f'(x)\neq g_1(x)$ and $g'_i(x)\neq g_{i+1}(x).$ They are only identical at $p=0,$ so $f'(0)= g_1(0)$ and $g'_i(0)= g_{i+1}(0).$ This is important to remember when the accuracy, i.e. the discrepancy between $f'(x)$ and $g_1(x)$ will be investigated.