Python-Workshop-3-NumPy.md

@@ -68,10 +68,44 @@ We can only scratch the surface during a one (1) hour workshop.
 
 The first few examples will be short and focus on arrays and statistics. These
 examples are inspired by [*Coffee Break NumPy* by Christian
-Mayer](https://www.amazon.com/Coffee-Break-NumPy-Science-Mastery/dp/1076932614)
+Mayer](https://www.amazon.com/Coffee-Break-NumPy-Science-Mastery/dp/1076932614).
 
 **Creating Arrays**
 
+```Python
+    array_size = 8
+    zeroes_array = np.zeros(array_size)
+    print(zeroes_array)
+    print()
+```
+
+```Python
+    array_size = 12
+    ones_array = np.ones(array_size)
+    print(ones_array)
+    print()
+```
+
+```Python
+    # Contents are "whatever happens to be in memory"
+    array_size = 16
+    unitialized_array = np.empty(array_size)
+    print(unitialized_array)
+    print()
+    # Create two NumPy arrays from Python lists
+    python_list = [2, 4, 8, 16, 32, 64]
+    np_array = np.array(python_list)
+    print(np_array)
+    print()
+```
+
+```Python
+    python_list = [2., 4., 8., 16., 32., 64.]
+    np_array = np.array(python_list)
+    print(np_array)
+    print()
+```
+
 **I/O**
 
 **Indexing**