Update README.md (#171)

* Remove outdated links
* Add a link to the documentation
* Add a link to the source code

README.md

@@ -23,26 +23,10 @@ You may expect significant performance improvement over ODBC in a single process
 
 PyEXASOL provides API to read & write multiple data streams in parallel using separate processes, which is necessary to fully utilize hardware and achieve linear scalability. With PyEXASOL you are no longer limited to a single CPU core.
 
-
-## Quick links
-- [Getting started](#getting-started)
-- [Reference](/docs/REFERENCE.md)
-- [Examples](/docs/EXAMPLES.md)
-- [Best practices](/docs/BEST_PRACTICES.md)
-- [Local config (.ini file)](/docs/LOCAL_CONFIG.md)
-- [SQL formatting](/docs/SQL_FORMATTING.md)
-- [HTTP Transport](/docs/HTTP_TRANSPORT.md)
-- [HTTP Transport (multiprocessing)](/docs/HTTP_TRANSPORT_PARALLEL.md)
-- [Parallelism](/docs/PARALLELISM.md)
-- [SSL encryption](/docs/ENCRYPTION.md)
-- [WebSocket protocol versions](/docs/PROTOCOL_VERSION.md)
-- [Performance tests](/docs/PERFORMANCE.md)
-- [UDF scripts output](/docs/SCRIPT_OUTPUT.md)
-- [DB-API 2.0 compatibility](/docs/DBAPI_COMPAT.md)
-- [Optional dependencies](/docs/DEPENDENCIES.md)
-- [Changelog](/CHANGELOG.md)
-- [Developer Guide](/docs/DEVELOPER_GUIDE.md)
-
+---
+* Documentation: [https://exasol.github.io/pyexasol/](https://exasol.github.io/pyexasol/index.html)
+* Source Code: [https://github.com/exasol/pyexasol](https://github.com/exasol/pyexasol)
+---
 
 ## PyEXASOL main concepts
 
@@ -87,7 +71,7 @@ df = C.export_to_pandas("SELECT * FROM EXA_ALL_USERS")
 print(df.head())
 ```
 
-You may set up [local config](/docs/LOCAL_CONFIG.md) to store your personal Exasol credentials and connection options:
+You may set up `local config` to store your personal Exasol credentials and connection options:
 ```python
 import pyexasol