diff --git a/foundations/quickstart.ipynb b/foundations/quickstart.ipynb
index d2468ff2dc..4be54804f2 100644
--- a/foundations/quickstart.ipynb
+++ b/foundations/quickstart.ipynb
@@ -88,7 +88,7 @@
    "source": [
     "A few things to note:\n",
     "\n",
-    "- Python defaults to counting from 0 (like C) rather than from 1 (like Fortran).\n",
+    "- Python defaults to counting from 0 (like [C](wiki:C_(programming_language))) rather than from 1 (like [Fortran](wiki:Fortran)).\n",
     "- Function calls in Python always use parentheses: `print()`\n",
     "- The colon `:` denotes the beginning of a definition (here of the repeated code under the `for` loop).\n",
     "- Code blocks are identified through indentations.\n",
@@ -625,7 +625,9 @@
    "source": [
     "## Resources and references\n",
     "\n",
-    "- [Official Python tutorial (Python Docs)](https://docs.python.org/3/tutorial/index.html)"
+    "- [Official Python tutorial (Python Docs)](https://docs.python.org/3/tutorial/index.html)\n",
+    "- [NumPy tutorials](https://numpy.org/learn/)\n",
+    "- [Matplotlib tutorials](https://matplotlib.org/stable/tutorials/index.html)"
    ]
   }
  ],
@@ -645,7 +647,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.14.1"
   }
  },
  "nbformat": 4,
diff --git a/preamble/how-to-use.md b/preamble/how-to-use.md
index 61cd9179c0..baad01226f 100644
--- a/preamble/how-to-use.md
+++ b/preamble/how-to-use.md
@@ -30,8 +30,10 @@ results.
 ## Organization of Pythia Foundations
 
 Pythia Foundations is organized into two main sections as seen in
-the sidebar on the left and the schematic below: Foundational Skills, and Core Scientific
-Python Packages. The first, Foundational Skills, covers essential
+the sidebar on the left and the schematic below:
+[Foundational Skills](../foundations/overview/),
+and [Core Scientific Python Packages](../core/overview/).
+The first, Foundational Skills, covers essential
 material that all users of Project Pythia are expected to feel
 comfortable with in order to make the most of the rest of the Project
 Pythia content. The second, Core Scientific Python Packages, covers