docs: Clean up PR

Author: MoenMi

src/about/introduction.rst

@@ -5,8 +5,8 @@ What is this?
 *************
 
 This is an open online book containing short scholarly API code examples (i.e., "recipes") 
-that demonstrate how to work with various scholarly web service APIs. It is part of the
-University of Alabama Libraries efforts to support `Research Data Services`_.
+that demonstrate how to work with various scholarly web service APIs. It is part of the University of
+Alabama Libraries efforts to support `Research Data Services`_.
 
 .. _Research Data Services: https://guides.lib.ua.edu/ResearchDataServices
 
@@ -35,11 +35,11 @@ What should I be aware of before getting started?
 
    In general, scholarly APIs are designed for the collection of small to medium
    sized datasets; that is, in the range of 100s or maybe a few thousand queries at most
-   (various with API). If you need large bulk datasets, an API is likely not the method to use,
-   and there may be bulk data downloads available from the database instead.
+   (various with API). If you need large bulk datasets, an API is likely not the method to use, and
+   there may be bulk data downloads available from the database instead.
 
-If you decide that your use-case is appropriate for a scholarly API (or similar web service),
-here are a few good general practices to follow when working with any web API:
+If you decide that your use-case is appropriate for a scholarly API (or similar web service), here are a few good general practices
+to follow when working with any web API:
 
 1. Read the API documentation and usage guidelines before starting.
 2. Start with testing the behavior of the API using a single programmatic API request (i.e., not in a loop).