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docs/src/introduction_to_catalyst/introduction_to_catalyst.md

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

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