fixed

docs/courses/foundations/python.md

@@ -798,6 +798,7 @@ We were able to achieve what we want but we now increased the size of our `opera
 The decorator function accepts a function `f` which is the function we wish to wrap around, in our case, it's `operations()`. The output of the decorator is its `wrapper` function which receives the arguments and keyword arguments passed to function `f`.
 
 Inside the `wrapper` function, we can:
+
 1. extract the input parameters passed to function `f`.
 2. make any changes we want to the function inputs.
 3. function `f` is executed

docs/courses/mlops/cicd.md

@@ -39,6 +39,7 @@ on:
 ```
 
 This creates for the following ideal workflow:
+
 1. We make changes to our code and submit a pull request to the `main` branch.
 2. Our `workloads` workflow is triggered and executes our model development workloads.
 3. If the performance of the new model is better, we can merge the pull request and push the changes to the `main` branch.