rm WeaveSupport

quarto/ODEs/differential_equations.qmd

@@ -12,19 +12,6 @@ using Plots
 using ModelingToolkit
 ```
 
-```{julia}
-#| echo: false
-#| results: "hidden"
-using CalculusWithJulia.WeaveSupport
-
-const frontmatter = (
-        title = "The `DifferentialEquations` suite",
-        description = "Calculus with Julia: The `DifferentialEquations` suite",
-        tags = ["CalculusWithJulia", "odes", "the `differentialequations` suite"],
-);
-fig_size = (800, 600)
-nothing
-```
 
 ---
 
@@ -428,5 +415,3 @@ plot(t -> sol(t)[3], t -> sol(t)[4], TSPAN..., legend=false)
 ```
 
 The toolkit will automatically generate fast functions and can perform transformations (such as is done by `ode_order_lowering`) before passing along to the numeric solves.
-
-

quarto/ODEs/euler.qmd

@@ -13,20 +13,6 @@ using SymPy
 using Roots
 ```
 
-```{julia}
-#| echo: false
-#| results: "hidden"
-using CalculusWithJulia.WeaveSupport
-
-
-const frontmatter = (
-        title = "Euler's method",
-        description = "Calculus with Julia: Euler's method",
-        tags = ["CalculusWithJulia", "odes", "euler's method"],
-);
-fig_size = (800, 600)
-nothing
-```
 
 ---
 
@@ -816,4 +802,3 @@ choices = [
 answ = 4
 radioq(choices, answ, keep_order=true)
 ```
-

quarto/ODEs/odes.qmd

@@ -12,18 +12,6 @@ using Plots
 using SymPy
 ```
 
-```{julia}
-#| echo: false
-#| results: "hidden"
-using CalculusWithJulia.WeaveSupport
-
-const frontmatter = (
-        title = "ODEs",
-        description = "Calculus with Julia: ODEs",
-        tags = ["CalculusWithJulia", "odes", "odes"],
-);
-nothing
-```
 
 ---
 
@@ -982,4 +970,3 @@ choices = [
 answ = 1
 radioq(choices, answ)
 ```
-

quarto/ODEs/solve.qmd

@@ -11,19 +11,6 @@ using Plots
 using MonteCarloMeasurements
 ```
 
-```{julia}
-#| echo: false
-#| results: "hidden"
-using CalculusWithJulia.WeaveSupport
-
-const frontmatter = (
-        title = "The problem-algorithm-solve interface",
-        description = "Calculus with Julia: The problem-algorithm-solve interface",
-        tags = ["CalculusWithJulia", "odes", "the problem-algorithm-solve interface"],
-);
-fig_size = (800, 600)
-nothing
-```
 
 ---
 
@@ -265,5 +252,3 @@ The only change was in the problem, `Problem(y0 = 0.0 ± 0.0, v0 = 30.0 ± 1.0)`
 
 
 This example, shows the flexibility of the problem-algorithm-solver pattern while maintaining a consistent pattern for execution.
-
-