amol- commented on a change in pull request #1:
URL: https://github.com/apache/arrow-cookbook/pull/1#discussion_r676496099
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File path: python/source/io.rst
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@@ -0,0 +1,423 @@
+========================
+Reading and Writing Data
+========================
+
+Recipes related to reading and writing data from disk using
+Apache Arrow.
+
+.. contents::
+
+Write a Parquet file
+====================
+
+.. testsetup::
+
+ import numpy as np
+ import pyarrow as pa
+
+ arr = pa.array(np.arange(100))
+
+Given an array with all numbers from 0 to 100
+
+.. testcode::
+
+ print(f"{arr[0]} .. {arr[-1]}")
+
+.. testoutput::
+
+ 0 .. 99
+
+To write it to a Parquet file, as Parquet is a columnar format,
+we must create a :class:`pyarrow.Table` out of it,
Review comment:
I see how using "columnar" in this context might be misleading, I used
it to mean "contains multiple columns" but I see that one might understand it
as "column oriented/major" which is not what I was referring to here. I'll
rephrase this as `"as Parquet is a format that contains multiple named
columns"` which should be clear and explicitly point out they are named as you
suggested.
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