What is a partially computable function?
The definition of partial function doesn't exclude the possibility that the function is total. On the contrary, every total function is a fortiori a partial function. Perhaps the terminology is unfortunate.

A function from $D$ to $R$ is a subset $f$ of $D \times R$ such that for all $d \in D$ there exists a unique $r \in R$ (denoted $f(d)$) such that $(d,r) \in f$. The domain of $f$ is $\operatorname{dom} f = D$.

A partial function from $D$ to $R$, where $\bot \notin R$, is a function $f$ from $D$ to $R \cup \{\bot\}$. When $f(d) = \bot$, we say that $f$ is undefined at $d$. The domain of $f$ is $\operatorname{dom} f = \{d \in D : f(d) \neq \bot\}$. If $\operatorname{dom} f = D$ then $f$ is total. For every partial function $f$, $f|_{\operatorname{dom} f}$ is a total function.

As you can see, a partial function is a function which can be undefined for some of the inputs; a total function is a partial function which happens to be defined everywhere.

Now regarding computability. Every program computes some partial function $f$ from $\mathbb{N}$ to $\mathbb{N}$; if the program doesn't halt on some input $x$, then $f$ is undefined on $x$, in other words, $f(x) = \bot$. A computable function is one computed by an algorithm which always halts.