diff --git a/content/authors/admin/_index.md b/content/authors/admin/_index.md
index 7a985a3..c6ed687 100644
--- a/content/authors/admin/_index.md
+++ b/content/authors/admin/_index.md
@@ -59,15 +59,15 @@ user_groups:
 Gonum is a set of packages designed to make writing numerical and scientific
 algorithms productive, performant, and scalable.
 
-Gonum contains libraries for [matrices and linear algebra](https://godoc.org/gonum.org/v1/gonum/mat);
-[statistics](https://godoc.org/gonum.org/v1/gonum/stat), 
-[probability](https://godoc.org/gonum.org/v1/gonum/stat/distuv) 
-[distributions](https://godoc.org/gonum.org/v1/gonum/stat/distmv), 
-and [sampling](https://godoc.org/gonum.org/v1/gonum/stat/sampleuv); tools for
-[function differentiation](https://godoc.org/gonum.org/v1/gonum/diff/fd), 
-[integration](https://godoc.org/gonum.org/v1/gonum/integrate/quad),
-and [optimization](https://godoc.org/gonum.org/v1/gonum/optimize);
-[network](https://godoc.org/gonum.org/v1/gonum/graph) creation and analysis; and more.
+Gonum contains libraries for [matrices and linear algebra](https://pkg.go.dev/gonum.org/v1/gonum/mat);
+[statistics](https://pkg.go.dev/gonum.org/v1/gonum/stat), 
+[probability](https://pkg.go.dev/gonum.org/v1/gonum/stat/distuv) 
+[distributions](https://pkg.go.dev/gonum.org/v1/gonum/stat/distmv), 
+and [sampling](https://pkg.go.dev/gonum.org/v1/gonum/stat/sampleuv); tools for
+[function differentiation](https://pkg.go.dev/gonum.org/v1/gonum/diff/fd), 
+[integration](https://pkg.go.dev/gonum.org/v1/gonum/integrate/quad),
+and [optimization](https://pkg.go.dev/gonum.org/v1/gonum/optimize);
+[network](https://pkg.go.dev/gonum.org/v1/gonum/graph) creation and analysis; and more.
 
 We encourage you to [get started](post/intro_to_gonum) with Go and Gonum if
 
diff --git a/content/post/intro_to_gonum.md b/content/post/intro_to_gonum.md
index ceddd4f..f106509 100644
--- a/content/post/intro_to_gonum.md
+++ b/content/post/intro_to_gonum.md
@@ -29,15 +29,15 @@ This makes Gonum similar to [numpy](https://www.numpy.org) and
 [Julia](https://julialang.org/) and [Matlab](https://www.mathworks.com/)
 which are full programming languages.
 
-Gonum contains libraries for [matrices and linear algebra](https://godoc.org/gonum.org/v1/gonum/mat);
-[statistics](https://godoc.org/gonum.org/v1/gonum/stat), 
-[probability](https://godoc.org/gonum.org/v1/gonum/stat/distuv) 
-[distributions](https://godoc.org/gonum.org/v1/gonum/stat/distmv), 
-and [sampling](https://godoc.org/gonum.org/v1/gonum/stat/sampleuv); tools for
-[function differentiation](https://godoc.org/gonum.org/v1/gonum/diff/fd), 
-[integration](https://godoc.org/gonum.org/v1/gonum/integrate/quad),
-and [optimization](https://godoc.org/gonum.org/v1/gonum/optimize);
-[network](https://godoc.org/gonum.org/v1/gonum/graph) creation and analysis; and more.
+Gonum contains libraries for [matrices and linear algebra](https://pkg.go.dev/gonum.org/v1/gonum/mat);
+[statistics](https://pkg.go.dev/gonum.org/v1/gonum/stat), 
+[probability](https://pkg.go.dev/gonum.org/v1/gonum/stat/distuv) 
+[distributions](https://pkg.go.dev/gonum.org/v1/gonum/stat/distmv), 
+and [sampling](https://pkg.go.dev/gonum.org/v1/gonum/stat/sampleuv); tools for
+[function differentiation](https://pkg.go.dev/gonum.org/v1/gonum/diff/fd), 
+[integration](https://pkg.go.dev/gonum.org/v1/gonum/integrate/quad),
+and [optimization](https://pkg.go.dev/gonum.org/v1/gonum/optimize);
+[network](https://pkg.go.dev/gonum.org/v1/gonum/graph) creation and analysis; and more.
 
 ## Why use Gonum
 
@@ -133,13 +133,13 @@ without an official specification.
 ### Learning Gonum
 The best way to learn about particular packages and functions is through
 the source code documentation.
-The godoc [website](https://godoc.org) automatically generates documentation
+The godoc [website](https://pkg.go.dev) automatically generates documentation
 pages from publically available source code.
-For most Go packages (not just Gonum), going to `https://godoc.org/<package-import-path>`
+For most Go packages (not just Gonum), going to `https://pkg.go.dev/<package-import-path>`
 will give you documentation about that particular package.
-For example, `https://godoc.org/gonum.org/v1/gonum/mat` will give documentation
+For example, `https://pkg.go.dev/gonum.org/v1/gonum/mat` will give documentation
 about Gonum's matrix package, as well as documentation for specific functions.
-Go to `https://godoc.org/gonum.org/v1/gonum/graph/topo` and you will see
+Go to `https://pkg.go.dev/gonum.org/v1/gonum/graph/topo` and you will see
 documentation about our graph topology routines, for example for finding the
 "strongly connected components" of a graph.
 Note that sometimes godoc lists functions below the relevant type, for example
@@ -147,7 +147,7 @@ the function to create a new dense matrix `mat.NewDense`, is listed under the
 `Dense` type.
 At the bottom of the index you will see a list of specific code examples,
 and at the very bottom of the godoc page, you can see a list of subpackages,
-if any (for instance, scroll to the bottom of `https://godoc.org/gonum.org/v1/gonum/stat`).
+if any (for instance, scroll to the bottom of `https://pkg.go.dev/gonum.org/v1/gonum/stat`).
 
 Please also check future posts on this blog for extended commentary on Gonum
 packages and their effective use.
diff --git a/content/post/intro_to_stats_with_gonum.md b/content/post/intro_to_stats_with_gonum.md
index 9e559a0..5dfe200 100644
--- a/content/post/intro_to_stats_with_gonum.md
+++ b/content/post/intro_to_stats_with_gonum.md
@@ -9,7 +9,7 @@ summary = "The first of a series of short posts providing an introduction and co
 _The following was cross-posted (with minor changes) from [sbinet.github.io/posts/2017-10-04-intro-to-stats-with-gonum](https://sbinet.github.io/posts/2017-10-04-intro-to-stats-with-gonum/)_
 
 This is the first of a series of short posts providing an introduction and code examples for using the Gonum packages.
-This first post focuses on computing basic statistics using the [stat](https://godoc.org/gonum.org/v1/gonum/stat) package.
+This first post focuses on computing basic statistics using the [stat](https://pkg.go.dev/gonum.org/v1/gonum/stat) package.
 
 This first post is based off the content of this blog post:
 
@@ -108,7 +108,7 @@ uses the unbiased sample variance (_ie:_ the divisor is `len(xs)-1`):
 16.891029423927957
 ```
 
-If one wants the uncorrected estimator, [stat.Moment](https://godoc.org/gonum.org/v1/gonum/stat#Moment) can be used instead.
+If one wants the uncorrected estimator, [stat.Moment](https://pkg.go.dev/gonum.org/v1/gonum/stat#Moment) can be used instead.
 
 With this quite blunt tool, we can analyse some real data from real life.
 We will use a dataset pertaining to the salary of European developers, all 1147 of them :).