Python-Workshop-3-NumPy.md

@@ -64,50 +64,72 @@ I may also reference a couple examples from the previous:
 We can only scratch the surface during a one (1) hour workshop.
 
 
-# Examples
+# A Few Short Examples
 
-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).
+My original intention was to focus on a few short (10 to 20 line) examples that
+focused on arrays and statistics... with a little linear algebra at the end.
+
+If you are interested in a collection of problems to develop your NumPy
+understanding... [*Coffee Break NumPy* by Christian
+Mayer](https://www.amazon.com/Coffee-Break-NumPy-Science-Mastery/dp/1076932614)
+is an excellent read. In fact... I read the book during the 2020 Winter Break.
+
+Let us start with a few short NumPy basics (e.g., arrays and broadcasting) then
+build Matrix Solver!.
 
 
 ## Creating Arrays
 
-```python
-    array_size = 8
-    zeroes_array = np.zeros(array_size)
-    print(zeroes_array)
-    print()
-```
+The code snippets from this section are extracted from
+[array_creation.py](https://git-community.cs.odu.edu/tkennedy/python-workshop/-/blob/master/NumPy/array_creation.py).
 
-```python
-    array_size = 12
-    ones_array = np.ones(array_size)
-    print(ones_array)
-    print()
-```
+NumPy arrays can be...
 
-```python
-    # Contents are "whatever happens to be in memory"
-    array_size = 16
-    unitialized_array = np.empty(array_size)
-    print(unitialized_array)
-    print()
-```
+  - Initialized to all zeroes
 
-```python
-    python_list = [2, 4, 8, 16, 32, 64]
-    np_array = np.array(python_list)
-    print(np_array)
-    print()
-```
+    ```python
+        array_size = 8
+        zeroes_array = np.zeros(array_size)
+        print(zeroes_array)
+        print()
+    ```
 
-```python
-    python_list = [2., 4., 8., 16., 32., 64.]
-    np_array = np.array(python_list)
-    print(np_array)
-    print()
-```
+  - Initialized to all ones
+
+    ```python
+        array_size = 12
+        ones_array = np.ones(array_size)
+        print(ones_array)
+        print()
+    ```
+
+  - Allocated and left uninitialized
+
+    ```python
+        # Contents are "whatever happens to be in memory"
+        array_size = 16
+        unitialized_array = np.empty(array_size)
+        print(unitialized_array)
+        print()
+    ```
+
+  - Created from a Python List of `int`s
+
+    ```python
+        python_list = [2, 4, 8, 16, 32, 64]
+        np_array = np.array(python_list)
+        print(np_array)
+        print()
+    ```
+
+  - Created from a Python List of `floats`s
+
+    ```python
+        python_list = [2., 4., 8., 16., 32., 64.]
+        np_array = np.array(python_list)
+        print(np_array)
+        print()
+    ```
 
 
 ## Broadcasting