daviddoji/CalculusWithJuliaNotes.jl
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rm WeaveSupport

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jverzani
2022-09-19 16:10:49 -04:00
parent 847109baea
commit e35ee2f6ca
66 changed files with 213 additions and 883 deletions
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9
quarto/precalc/plotting.qmd
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@@ -14,17 +14,10 @@ using Plots
```{julia}
#| echo: false
#| results: "hidden"
using CalculusWithJulia.WeaveSupport
using Roots
using SymPy
using DataFrames
const frontmatter = (
title = "The Graph of a Function",
description = "Calculus with Julia: The Graph of a Function",
tags = ["CalculusWithJulia", "precalc", "the graph of a function"],
);
nothing
```
@@ -957,5 +950,3 @@ The slow "time to first plot" in `Julia` is a well-known hiccup that is related
`Julia` is an interactive language that attains its speed by compiling functions on the fly using the [llvm](llvm.org) compiler. When `Julia` encounters a new combination of a function method and argument types it will compile and cache a function for subsequent speedy execution. The first plot is slow, as there are many internal functions that get compiled. This has sped up of late, as excessive recompilations have been trimmed down, but still has a way to go. This is different from "precompilation" which also helps trim down time for initial executions. There are also some more technically challenging means to create `Julia` images for faster start up that can be pursued if needed.