Prerequisite concepts
Derivatives can be found while holding one or more variables constant
Derivatives of multivariable functions can be found by holding one or more variables constant (subject to physical limitations).
Representations used
The value of a partial derivative depends on the value(s) of what is held constant
There is a partial derivative in every direction at any point
There is a tangent line in every direction at every point
The magnitude of the gradient is proportional to the density of contour lines
FIXME: Is this really a statement about paths? I don't think we have path-related concepts.
Partial derivatives that do not have the same variable(s) held constant (at the same values?) are not the same derivative
There are experimental limits to how $small$ of a change can be measured
The derivative can be interpreted physically
The coefficients in a differentials equation are partial derivatives
FIXME
The direction of the gradient is perpendicular to contour lines
The direction of the gradient shows what way is 'uphill'
The magnitude of the gradient is proportional to the density of contour lines
The components of the gradient are partial derivatives
The magnitude of the gradient is proportional to the density of contour lines
The direction of the gradient is perpendicular to contour lines
The gradient is a local quantity
The gradient lives in the domain and has the same number of spatial dimensions as the original function