finished pandas-advanced teaching, added pics, updated readmes

Author: gregparkes

02-Simulation/02 SciPy Basics.ipynb

@@ -664,6 +664,13 @@
     "    ax[i].imshow(p, cmap=\"hot\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1000,7 +1007,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [

02-Simulation/README.md

@@ -78,6 +78,10 @@ It is recommended that only the packages you need from SciPy are imported, given
 >>> b = linalg.solve(A, x)
 ```
 
+In addition, `scipy` provides a suite of basic image processing functions to adjust and manipulate images of varying sizes.
+
+![Image not found](cats.svg)
+
 To get a solid grasp of this package, you'll have to work through the notebook!
 
 ## Dask arrays