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README.md

@@ -5,16 +5,47 @@
 [![PyPI license](https://img.shields.io/pypi/l/fugue.svg)](https://pypi.python.org/pypi/fugue/)
 [![PyPI version](https://badge.fury.io/py/fugue.svg)](https://pypi.python.org/pypi/fugue/)
 [![Coverage Status](https://coveralls.io/repos/github/fugue-project/fugue/badge.svg)](https://coveralls.io/github/fugue-project/fugue)
-[![Doc](https://readthedocs.org/projects/fugue/badge)](https://triad.readthedocs.org)
+[![Doc](https://readthedocs.org/projects/fugue/badge)](https://fugue.readthedocs.org)
 
-An abstraction layer for distributed computation
+[Join Fugue-Project on Slack](https://join.slack.com/t/fugue-project/shared_invite/zt-ffo2ik1d-maSsCykv_p7kXpnmIjKAug)
 
-## Tutorials
+Fugue is a pure abstraction layer that adapts to different computing frameworks
+such as Spark and Dask. It is to unify the core concepts of distributed computing and
+to help you decouple your logic from specific computing frameworks.
 
-### The simplest way to start:
+## Installation
+```
+pip install fugue
+```
+
+Fugue has these extras:
+* **sql**: to support [Fugue SQL](https://fugue-tutorials.readthedocs.io/en/latest/tutorials/sql.html)
+* **spark**: to support Spark as the [ExecutionEngine](https://fugue-tutorials.readthedocs.io/en/latest/tutorials/execution_engine.html)
+* **dask**: to support Dask as the [ExecutionEngine](https://fugue-tutorials.readthedocs.io/en/latest/tutorials/execution_engine.html)
+
+For example a common use case is:
+```
+pip install fugue[sql,spark]
+```
+
+
+## Docs and Tutorials
+
+To read the complete static docs, [click here](https://fugue.readthedocs.org)
+
+The best way to start is to go through the tutorials. We have the tutorials in an interactive notebook environent.
+
+### Run the tutorial using binder:
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fugue-project/tutorials/master)
 
+**But it runs slow on binder**, the machine on binder isn't powerful enough for
+a distributed framework such as Spark. Parallel executions can become sequential, so some of the
+performance comparison examples will not give you the correct numbers.
+
 ### Run the tutorial using docker
+
+Alternatively, you should get decent performance if running its docker image on your own machine:
+
 ```
 docker run -p 8888:8888 fugueproject/tutorials:latest
 ```