Merge pull request #139 from mitmath/oct-18-2023-typos

src/climate_science/odes_and_parameterized_types.jl

@@ -391,7 +391,7 @@ end
 md"""
 The definition of the function makes it callable.
 
-This says that "the way to call an object called `soln`, of type `EulerOutput`, is the following:". Note that inside the function you will need too access the `times` and `values` from *inside* the `soln` object, using `soln.times` and `soln.values`.
+This says that "the way to call an object called `soln`, of type `EulerOutput`, is the following:". Note that inside the function you will need to access the `times` and `values` from *inside* the `soln` object, using `soln.times` and `soln.values`.
 
 Note that at the time of writing, Pluto requires that you put this call definition in the same cell as the type definition.
 """

src/climate_science/predicting_the_weather.jl

@@ -521,7 +521,7 @@ As $\rho$ increases we see a sequence of bifurcations. Above a critical value, t
 
 # ╔═╡ cc7ee950-6b86-4d43-8524-86254978bd1b
 md"""
-Deterministic chaos occurs when nearby initial conditions separate exponentially fast in state space. This has been given the name **butterly effect**: the perturbation to the atmosphere's state caused by a butterfly flapping its wings could end up being magnified to modify the direction in which a tornado moves. 
+Deterministic chaos occurs when nearby initial conditions separate exponentially fast in state space. This has been given the name **butterfly effect**: the perturbation to the atmosphere's state caused by a butterfly flapping its wings could end up being magnified to modify the direction in which a tornado moves. 
 
 We can see this in a simple way by perturbing the initial condition slightly and calculating the distance between the two systems as a function of $t$:
 """