up

docs/src/introduction_to_catalyst/introduction_to_catalyst.md

@@ -86,7 +86,8 @@ plotting ecosystem. The relevant packages to load are Catalyst, GraphMakie, and
 such as GLMakie. Doing so and then using the `plot_network` function allows us to 
 visualize the network: 
 ```@example tut1
-using Catalyst, GraphMakie, GLMakie
+using Catalyst
+import GLMakie, GraphMakie
 g = plot_network(rn)
 ```
 
@@ -179,10 +180,9 @@ At this point we are all set to solve the ODEs. We can now use any ODE solver
 from within the
 [OrdinaryDiffEq.jl](https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/)
 package. We'll use the recommended default explicit solver, `Tsit5()`, and then
-plot the solutions (we have imported `plot` to avoid ambiguity with GLMakie):
+plot the solutions: 
 
 ```@example tut1
-import Plots: plot
 sol = solve(oprob, Tsit5(), saveat=10.0)
 plot(sol)
 ```