bjornjorgensen commented on code in PR #44201:
URL: https://github.com/apache/spark/pull/44201#discussion_r1420313384
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python/docs/source/index.rst:
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@@ -72,20 +76,25 @@ DataFrames, Structured Streaming, Machine Learning (MLlib)
and Spark Core.
:alt: Spark Core and RDDs
-
-.. _Index Page - Spark SQL and DataFrames:
+.. _Index Page - DataFrame:
-**Spark SQL and DataFrames**
+**DataFrame**
Review Comment:
> This might be a stupid question since I'm not familiar enough with English
expressions: why do we express `DataFrame` in plural?
>
If the thing her DataFrame can be more then 1 then you are using plural.
This is from google bard
----------------
It's not a stupid question at all. In English, we use the plural form of a
noun when we are referring to multiple instances of that noun. So, for example,
we would say "I have two dogs" or "I have seen many pandas."
In the case of "DataFrame," we use the plural form because it is a term that
refers to multiple data structures. A DataFrame is a two-dimensional data
structure that stores data in rows and columns. It can be used to store a
variety of data types, including numbers, strings, and dates.
So, when we say "DataFrames," we are referring to multiple instances of this
data structure. For example, we might say "I have created three DataFrames" or
"I have processed a large number of DataFrames."
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