ORC-1112: Add Using with Python web page (#1039)

### What changes were proposed in this pull request?

This PR aims to add `Using with Python` web page to Apache ORC website for the community Python users.

### Why are the changes needed?

To help Python users to use `Apache Arrow` project more with latest `Apache ORC 1.7.x C++` release.

### How was this patch tested?

Build the doc and check generated website. The embedded code can be test with `PyArrow 6.0.1 (latest)` and will be improved at `PyArrow 7.0` via [ARROW-15338: [Python] Add pyarrow.orc.read_table API](apache/arrow@ff4b9be)

<img width="581" alt="Screen Shot 2022-02-01 at 2 28 15 PM" src="https://user-images.githubusercontent.com/9700541/152062188-d9d3309a-9367-49dc-b8ea-0f4bac8d9919.png">

<img width="100%" alt="Screen Shot 2022-02-01 at 2 29 23 PM" src="https://user-images.githubusercontent.com/9700541/152062356-934b366f-040b-4fa7-8beb-27ae786e028b.png">

This closes #1027

site/_data/docs.yml

@@ -11,6 +11,10 @@
   - building
   - releases
 
+- title: Using in Python
+  docs:
+  - pyarrow
+
 - title: Using in Spark
   docs:
   - spark-ddl

site/_docs/pyarrow.md

@@ -0,0 +1,37 @@
+---
+layout: docs
+title: PyArrow
+permalink: /docs/pyarrow.html
+---
+
+## How to install
+
+Apache Arrow project's PyArrow is the recommended package.
+
+https://pypi.org/project/pyarrow/
+
+```
+pip3 install pyarrow
+pip3 install pandas
+```
+
+## How to write and read an ORC file
+
+```
+In [1]: import pandas as pd
+
+In [2]: import pyarrow as pa
+
+In [3]: import pyarrow.orc as orc
+
+In [4]: orc.write_table(pa.table({"col1": [1, 2, 3]}), "test.orc")
+
+In [5]: t = orc.ORCFile("test.orc").read()
+
+In [6]: t.to_pandas()
+Out[6]:
+   col1
+0     1
+1     2
+2     3
+```

site/index.html

@@ -44,6 +44,7 @@ <h2>Complex Types</h2>
     <div class="unit golden-large code">
       <p class="title">Quickstart Documentation</p>
       <ul class="shell">
+        <li><a href="docs/pyarrow.html">Using with Python</a></li>
         <li><a href="docs/spark-ddl.html">Using with Spark</a></li>
         <li><a href="docs/hive-ddl.html">Using with Hive</a></li>
         <li><a href="docs/mapred.html">Using with Hadoop MapRed</a></li>