[GitHub] [arrow] amol- commented on a change in pull request #10999: ARROW-13404: [Doc][Python] Improve PyArrow documentation for new users

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amol- commented on a change in pull request #10999:
URL: https://github.com/apache/arrow/pull/10999#discussion_r698498745



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File path: docs/source/python/getstarted.rst
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@@ -0,0 +1,149 @@
+.. Licensed to the Apache Software Foundation (ASF) under one
+.. or more contributor license agreements.  See the NOTICE file
+.. distributed with this work for additional information
+.. regarding copyright ownership.  The ASF licenses this file
+.. to you under the Apache License, Version 2.0 (the
+.. "License"); you may not use this file except in compliance
+.. with the License.  You may obtain a copy of the License at
+
+..   http://www.apache.org/licenses/LICENSE-2.0
+
+.. Unless required by applicable law or agreed to in writing,
+.. software distributed under the License is distributed on an
+.. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+.. KIND, either express or implied.  See the License for the
+.. specific language governing permissions and limitations
+.. under the License.
+
+.. _getstarted:
+
+Getting Started
+===============
+
+Arrow manages data in Arrays (:class:`pyarrow.Array`), which can be
+grouped in tables (:class:`pyarrow.Table`) to represent columns of data
+in tabular data.
+
+Arrow also exposes supports for various formats to get those tabular
+data in and out of disk and networks. Most commonly used formats are
+Parquet (:ref:`parquet`) and the IPC format (:ref:`ipc`). 
+
+Creating Arrays and Tables
+--------------------------
+
+Arrays in Arrow are collections of data of uniform type. That allows
+arrow to use the best performing implementation to store the data and
+perform computation of it. So each array is meant to have data and
+a type
+
+.. ipython:: python
+
+    import pyarrow as pa
+
+    days = pa.array([1, 12, 17, 23, 28], type=pa.int8())
+
+multiple arrays can be combined in tables to form the columns
+in tabular data according to a provided schema
+
+.. ipython:: python
+
+    months = pa.array([1, 3, 5, 7, 1], type=pa.int8())
+    years = pa.array([1990, 2000, 1995, 2000, 1995], type=pa.int16())
+
+    birthdays_table = pa.table([days, months, years], 
+                               schema=pa.schema([
+                                    ('days', days.type),
+                                    ('months', months.type),
+                                    ('years', years.type)

Review comment:
       Fair point, I wrote that tables are arrays+schema but in reality they are arrays+names as arrays already provide type information.




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