How do I show that coordinate basis spans the tangent space? A tangent space $T_{m,M}$ is defined as the set of all linear derivations at a point $m$ on a manifold $M$. Linear derivations are operators that satisfy the Leibniz rule, i.e. $f,g \in F_{m,M}, O(f,g) = f*O(g)+g*O(f)$ where $F_{m,M}$ is the space of smooth functions defined on a subset of $M$ defined on a subset including $m$. Operators are defined to map from $F_{m,M} \to \mathbb{R}$
The coordinate basis $\{t_i\}$ of tangent vectors are defined as $t_i(f) = \frac{\partial f}{\partial x^i}$ where the $x^i$ are coordinate functions belonging to some chart of $M$.
I read that the coordinate basis apparently spans the space of all linear derivations at m. It's obvious that derivatives belong to the space, but how can you show that the partial derivatives span the space of linear derivations?

This is half of the content of Proposition 3.2 in Lee's Introduction to Smooth Manifolds. In summary, and using the notation of the question here:
Hint The given definition of derivation at local, so by choosing smooth coordinates of the given manifold $M$ centered at the given point $m \in M$, we need only prove the claim for $M = \Bbb R^n$ and $m = {\bf 0}$.
For a derivation $X$ on $M$ at ${\bf 0}$, set $v^i := X(x^i)$, where $x^i$ is the usual $i$th coordinate function. By applying Taylor's Theorem (with remainder) to expand an arbitrary smooth function $f$ on a neighborhood of ${\bf 0}$, show that $X = v^i t_i$, which in particular implies $X \in \operatorname{span}\{t_i\}$.

 Fix a smooth, real-valued function $f$ on a neighborhood of ${\bf 0}$. By Taylor's Formula, there are smooth functions $g_i$ on a neighborhood of $m$ such that $g_i({\bf 0}) = 0$ and $$f(x) = f(m) + \sum_{i = 1}^n t_i(f) x^i + \sum_{i = 1}^n g_i(x) x^i .$$ Each summand of the last term is a product of functions that vanish at ${\bf 0}$, so applying $X$ to $f$ gives $$X(f) = X\left(\sum_{i = 1}^n t_i(f) x^i\right) = \sum_{i = 1}^n t_i(f) X(x^i) = \sum_{i = 1}^n v^i t_i(f) .$$

