Python-Workshop-3-NumPy.md

@@ -316,7 +316,7 @@ A Gaussian Elimination Matrix solver can viewed as [4 operations](https://www.cs
   3. Eliminate
   4. Backsolve
 
-For our implementation... these operatrionrs will be wrapped in a
+For our implementation... these operations will be wrapped in a
 `solve_matrix` function...
 
 ```python
@@ -469,7 +469,7 @@ The first step is to convert the table into...
     students = ["John", "Tom", "Bob"]
     ```
 
-  - a Numpy `ndarray`
+  - a NumPy `ndarray`
 
     ```python
     grades = np.array([[100., 98, 100., 90.],
@@ -477,7 +477,7 @@ The first step is to convert the table into...
                        [100., 70., 90., 80.]])
     ```
 
-Numpy provides a number of [statistics
+NumPy provides a number of [statistics
 operations](https://numpy.org/doc/stable/reference/arrays.ndarray.html#array-methods)
 that can be applied by axis.  For a two-dimensional `ndarray` there are two
 choices: