Group info pages under an info folder and route

_libs/landing/landing.js

@@ -51,6 +51,6 @@ document.addEventListener("DOMContentLoaded", function() {
     // Add click event listener to the div element
     element.addEventListener('click', function(event) {
         // Change the location to "/how-to-run-code"
-        window.location.href = (hosted) ? origin + "/DataScienceTutorials.jl" + "/how-to-run-code" : "/how-to-run-code";
+        window.location.href = (hosted) ? origin + "/DataScienceTutorials.jl" + "/info/how-to-run-code" : "/info/how-to-run-code";
     });
 });

_libs/nav/head.js

@@ -4,7 +4,7 @@ const navItems = [
   {
     name: 'Data Basics',                                    // Category name to be shown in navigation bar
     id: 'data',                                             // id to be manipulated with js
-    href: '/data',                                             // in case it should link anywhere
+    href: '/info/data',                                             // in case it should link anywhere
     sections: [                                             // list items to be shown in its dropdown and where they link to
       { name: 'Loading Data', href: '/data/loading/' },
       { name: 'Data Frames', href: '/data/dataframe/' },
@@ -17,7 +17,7 @@ const navItems = [
   {
     name: 'Getting Started',
     id: 'getting-started',
-    href: '/getting-started',
+    href: '/info/getting-started',
     sections: [
       { name: 'Choosing a model', href: '/getting-started/choosing-a-model/' },
       { name: 'Fit, predict, transform', href: '/getting-started/fit-and-predict/' },
@@ -32,7 +32,7 @@ const navItems = [
   {
     name: 'Intro to Stats Learning',
     id: 'stats-learning',
-    href: '/isl',
+    href: '/info/isl',
     sections: [
       { name: 'Lab 2', href: '/isl/lab-2/' },
       { name: 'Lab 3', href: '/isl/lab-3/' },
@@ -49,7 +49,7 @@ const navItems = [
   {
     name: 'End to End',
     id: 'end-to-end',
-    href: '/end-to-end',
+    href: '/info/end-to-end',
     sections: [
       { name: 'Telco Churn', href: '/end-to-end/telco/' },
       { name: 'AMES', href: '/end-to-end/AMES/' },
@@ -192,7 +192,7 @@ generateSidebar(navItems);
 // Flatten the nav items so we can easily iterate through them
 function flattenNavItems(items) {
   return items.reduce((acc, item) => {
-    const mainHrefs = ["/data", "/end-to-end", "/getting-started", "/isl", "#!"];
+    const mainHrefs = ["/info/data", "/info/end-to-end", "/info/getting-started", "/info/isl", "#!"];
     if (!mainHrefs.includes(item.href)) {      
       acc.push(item);
     }

index.md

@@ -29,7 +29,7 @@ What kind of user are you? These are our recommendations for different types of
   @@tab-content,selected-content
   ## Completely new to Julia?
 
-  Try one of these [external resources](/external-resources):
+  Try one of these [external resources](/info/external-resources):
 
   - [Julia's learning resources page](https://julialang.org/learning/) 
 
@@ -54,8 +54,8 @@ What kind of user are you? These are our recommendations for different types of
   # New to machine learning but have moderate Julia skills?
 
   Start out with the [Introduction to Statistical
-  Learning](/isl) tutorials, or one of
-  these [external resources](/external-resources):
+  Learning](/info/isl) tutorials, or one of
+  these [external resources](/info/external-resources):
 
   - [MLCourse](https://github.com/jbrea/MLCourse): Teaching material for
     an introductory machine learning course at EPFL (for an interactive
@@ -72,8 +72,8 @@ What kind of user are you? These are our recommendations for different types of
   To get started with Julia, you can try one of the external resources found in the **New to Julia** tab.
 
   Once you have basic Julia competency, try the [Introduction to
-  Statistical Learning](/isl)
-  tutorials or one of these [external reources](/external-resources):
+  Statistical Learning](/info/isl)
+  tutorials or one of these [external resources](/info/external-resources):
 
   - [Julia Data
     Science](https://github.com/JuliaDataScience/JuliaDataScience): Book