more formatting

zingale · zingale · commit df65eac5f3e0 · 2024-01-17T10:38:49.000-05:00
diff --git a/content/02-numpy/numpy-basics.ipynb b/content/02-numpy/numpy-basics.ipynb
@@ -20,7 +20,7 @@
    "source": [
     "````{note}\n",
     "    \n",
-    "Note that the traditional way to import numpy is to rename it np.  This saves on typing and makes your code a little more compact.\n",
+    "Note that the traditional way to import numpy is to rename it `np`.  This saves on typing and makes your code a little more compact.\n",
     "````"
    ]
   },
@@ -205,13 +205,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<div class=\"alert alert-block alert-warning\">\n",
-    "    \n",
-    "<span class=\"fa fa-flash\"></span> Quick Exercise:\n",
+    "````{admonition} Quick Exercise\n",
     "\n",
     "Analogous to `linspace()`, there is a `logspace()` function that creates an array with elements equally spaced in log.  Use `help(np.logspace)` to see the arguments, and create an array with 10 elements from $10^{-6}$ to $10^3$.\n",
     "\n",
-    "</div>"
+    "````"
    ]
   },
   {
@@ -303,13 +301,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<div class=\"alert alert-block alert-warning\">\n",
-    "    \n",
-    "<span class=\"fa fa-flash\"></span> Quick Exercise:\n",
+    "````{admonition} Quick Exercise\n",
     "\n",
     "What do you think `1./a` will do?  Try it and see\n",
     "\n",
-    "</div>"
+    "````"
    ]
   },
   {
@@ -372,13 +368,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<div class=\"alert alert-block alert-warning\">\n",
-    "    \n",
-    "<span class=\"fa fa-flash\"></span> Quick Exercise:\n",
+    "````{admonition} Quick Exercise\n",
     "\n",
     "`sum()` takes an optional argument, `axis=N`, where `N` is the axis to sum over.  Sum the elements of `a` across rows to create an array with just the sum along each column of `a`.\n",
     "\n",
-    "</div>"
+    "````"
    ]
   },
   {
@@ -460,16 +454,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<div class=\"alert alert-block alert-warning\">\n",
-    "    \n",
-    "<span class=\"fa fa-flash\"></span> Quick Exercise:\n",
+    "````{admonition} Quick Exercise\n",
     "\n",
     "We will often want to write our own function that operates on an array and returns a new array.  We can do this just like we did with functions previously&mdash;the key is to use the methods from the `np` module to do any operations, since they work on, and return, arrays.\n",
     "\n",
     "Write a simple function that returns $\\sin(2\\pi x)$ for an input array `x`.  Then test it \n",
     "by passing in an array `x` that you create via `linspace()`\n",
     "\n",
-    "</div>"
+    "````"
    ]
   },
   {
@@ -739,9 +731,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<div class=\"alert alert-block alert-warning\">\n",
-    "    \n",
-    "<span class=\"fa fa-flash\"></span> Quick Exercise:\n",
+    "````{admonition} Quick Exercise\n",
     "\n",
     "Consider the array defined as:\n",
     "\n",
@@ -758,7 +748,7 @@
     "  * using slice notation, create an array that consists of only the `4`'s in `q` (this will be called a _view_, as we'll see shortly)\n",
     "  * zero out all of the elements in your view\n",
     "  * how does `q` change?\n",
-    "</dov> "
+    "````"
    ]
   },
   {
@@ -1205,6 +1195,7 @@
    "metadata": {},
    "source": [
     "Now we want to construct a derivative, \n",
+    "\n",
     "$$\n",
     "\\frac{d f}{dx}\n",
     "$$"
@@ -1225,9 +1216,11 @@
    "metadata": {},
    "source": [
     "We want to do this without loops&mdash;we'll use views into arrays offset from one another.  Recall from calculus that a derivative is approximately:\n",
+    "\n",
     "$$\n",
     "\\frac{df}{dx} = \\frac{f(x+h) - f(x)}{h}\n",
     "$$\n",
+    "\n",
     "Here, we'll take $h$ to be a single adjacent element"
    ]
   },
@@ -1249,13 +1242,6 @@
    "source": [
     "dfdx"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
