differentiation is a way of telling "how fast something is changing". one example of this is the speedometer in a car. it is measuring "how fast your positon is changing in the direction you're travelling".
now, normally, we think of speed as distance/time.
but what about "instantaneous speed"? how do you tell how fast you're going "right now"?
the distance/time formula does us no good, we just get 0/0 = ?
but...there IS a way, and it's kind of clever.
suppose you're driving at a steady 60 miles an hour. then d/t should be 60, no matter how small "t" is. in other words:
d/t = 60t/t...and we just "cancel the t's".
that is the basic idea behind finding a limit, we see if (d(x+t)-d(x))/t is "well-behaved" (that is, we can approximate it better and better) even when t is very, very small.
functions (like our distance = d(x)) that DO behave well under such circumstances, are called differentiable, which means that we can tell "where they're headed right NOW". not all functions are well-behaved, but many of the useful ones are.
integration is sort of the "mirror process", given how fast things are changing "right now", can we tell what the effect of that change will be? that is, given how our speed varies over time, can we figure out our position? and, again for some, but not all functions, we can (if we know where we were, when we started). such functions for which we can "anti-differentiate" are called integrable.
it turns out that we gain a bonus, that integration is also closely tied to what we call "length" (in one dimension), "area" (in two dimensions) and "volume" (in three dimensions). for higher dimensions (which are hard to imagine), the term "content" is often used.
in the real world (i.e, in science and technology), we can use these features of "nice" functions to predict how things will behave. this is very useful. without calculus, we never would have made it to the moon and back (or made it very far in understanding electricty and magnetism).
calculus arose from studying phenomenon that changed "smoothly" over time, gradually, or fluidly. like a billiard ball, rolling along the surface of a table (perhaps with a little spin), rather than like a flashing light that suddenly blinks off and on. in fact, it was the search for a way to capture this idea of smoothness, or continual change, that led us to unify rational and irrational numbers in one big happy family (fractions are too "grainy" to capture the fluid behavior we were after), the real numbers (and their complicated big brother, the aptly-named(?) complex numbers).
none of this is terribly precise, but hopefully you get the idea.