Update with more content on the "learn more" page.

Author: ericmjl

notebooks/03-practical/01-io.ipynb

@@ -628,7 +628,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from nams.solutions import io\n",
@@ -654,7 +656,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,

notebooks/learn-more.md

@@ -62,12 +62,24 @@ Here's an overview of what's available
 
 === "Network Science"
 
-    This is a book by Albert Laszlo-Barabasi, and is freely available [online].
+    This is a book by Prof. Albert Laszlo-Barabasi, and is freely available [online].
     In it, he explores network analysis from the perspective of an applied academic discipline,
     showing universal properties and processes that underly networks.
 
     [online]: http://networksciencebook.com/
 
+=== "Think Complexity"
+
+    This is a book by Prof. Allen Downey at the Olin College of Engineering.
+    In fact, this was the first book that exposed me (Eric Ma)
+    to network science and its ideas, which thus inspired my thesis topic,
+    which then gave me the impetus to learn graph theory and make this tutorial.
+    I hope it becomes a useful thing for you too.
+    You can find the book [at Green Tea Press][thinkcomp] for free,
+    but do consider purchasing a copy to support Allen's work!
+
+    [thinkcomp]: https://greenteapress.com/wp/think-complexity-2e/
+
 ## Online Resources
 
 === "Snacks"