Add "what is?" section int the docs

Author: igorborgest

README.md

@@ -1,8 +1,6 @@
 # AWS Data Wrangler
-
-![AWS Data Wrangler](docs/source/_static/logo2.png?raw=true "AWS Data Wrangler")
-
 > Pandas on AWS
+![AWS Data Wrangler](docs/source/_static/logo2.png?raw=true "AWS Data Wrangler")
 
 [![Release](https://img.shields.io/badge/release-1.0.0-brightgreen.svg)](https://pypi.org/project/awswrangler/)
 [![Python Version](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-brightgreen.svg)](https://anaconda.org/conda-forge/awswrangler)
@@ -20,6 +18,7 @@
 
 ## [Read The Docs](https://aws-data-wrangler.readthedocs.io/en/dev-1.0.0/index.html)
 
+- [**What is AWS Data Wrangler?**](https://aws-data-wrangler.readthedocs.io/en/dev-1.0.0/what.html)
 - [**Install**](https://aws-data-wrangler.readthedocs.io/en/dev-1.0.0/install.html)
   - [PyPi (pip)](https://aws-data-wrangler.readthedocs.io/en/dev-1.0.0/install.html#pypi-pip)
   - [Conda](https://aws-data-wrangler.readthedocs.io/en/dev-1.0.0/install.html#conda)

docs/source/conf.py

@@ -81,6 +81,7 @@
     # Note the "1" or "True" value above as the third argument to indicate
     # an arbitrary url.
     "navbar_links": [
+        ("What is Data Wrangler?", "what"),
         ("Install", "install"),
         ("Tutorials", "https://github.com/awslabs/aws-data-wrangler/tree/dev-1.0.0/tutorials", True),
         ("API Reference", "api"),

docs/source/index.rst

@@ -3,16 +3,16 @@
 
 AWS Data Wrangler
 =================
+*Pandas on AWS*
 
 .. image:: _static/logo_transparent.png
     :width: 40%
     :alt: AWS Data Wrangler
 
-*Pandas on AWS*
-
 .. toctree::
    :maxdepth: 2
 
+   what
    install
    Tutorials <https://github.com/awslabs/aws-data-wrangler/tree/dev-1.0.0/tutorials>
    api

docs/source/what.rst

@@ -0,0 +1,8 @@
+What is AWS Data Wrangler?
+==========================
+
+An `open-source <https://github.com/awslabs/aws-data-wrangler>`_ Python package that extends the power of `Pandas <https://github.com/pandas-dev/pandas>`_ library to AWS connecting **DataFrames** and AWS data related services (**Amazon Redshift**, **AWS Glue**, **Amazon Athena**, **Amazon EMR**, etc).
+
+Built on top of other open-source projects like `Pandas <https://github.com/pandas-dev/pandas>`_, `Apache Arrow <https://github.com/apache/arrow>`_, `Boto3 <https://github.com/boto/boto3>`_, `s3fs <https://github.com/dask/s3fs>`_, `SQLAlchemy <https://github.com/sqlalchemy/sqlalchemy>`_, `Psycopg2 <https://github.com/psycopg/psycopg2>`_ and `PyMySQL <https://github.com/PyMySQL/PyMySQL>`_, it offers abstracted functions to execute usual ETL tasks like load/unload data from **Data Lakes**, **Data Warehouses** and **Databases**.
+
+Do you want to see it in action? Check our `tutorials <https://github.com/awslabs/aws-data-wrangler/tree/dev-1.0.0/tutorials>`_ or the `list of functionalities <https://aws-data-wrangler.readthedocs.io/en/dev-1.0.0/api.html>`_.