diff --git a/developer-documentation b/developer-documentation
new file mode 160000
index 0000000..2fa3e19
--- /dev/null
+++ b/developer-documentation
@@ -0,0 +1 @@
+Subproject commit 2fa3e1906dc2892567cbcc1f4041395890064f8c
diff --git a/doc/data_ingestion.rst b/doc/data_ingestion.rst
index 73a42f9..3454e8d 100644
--- a/doc/data_ingestion.rst
+++ b/doc/data_ingestion.rst
@@ -133,7 +133,6 @@ Here is an example of how to load data from a CSV file stored on an HTTP server:
     conn.execute("""
         IMPORT INTO your_schema.your_table
         FROM CSV AT 'https://your_https_server/path/to/your/file.csv'
-        FILE OPTIONS 'DELIMITER=; ENCODING=UTF-8 SKIP_ROWS=1 NULL=NULL'
     """)
 
 For more detailed information on loading data from external sources, please refer to the Exasol documentation:
diff --git a/doc/environments.rst b/doc/environments.rst
index a41a60c..0b6d591 100644
--- a/doc/environments.rst
+++ b/doc/environments.rst
@@ -1,11 +1,63 @@
 Environments
 ============
 
-Jupyter Notebooks
------------------
+.. _jupyterlab:
 
-VSCode
-------
+JupyterLab and JupySQL
+----------------------
+
+Install SQLAlchemy and JupySQL
+
+.. code-block:: python
+
+    pip install sqlalchemy-exasol
+    pip install jupysql
+
+Connect to Exasol database using SQLAlchemy
+
+.. code-block:: python
+
+    import sqlalchemy
+    from sqlalchemy.engine.url import URL
+    import getpass
+
+    db_host = 'my_exasol_host'
+    db_port = 8563
+    db_username = input('User Name:')
+    db_password = getpass.getpass('Password:')
+
+    websocket_url = URL.create(
+        'exa+websocket',
+        host=db_host,
+        port=db_port,
+        username=db_username,
+        password=db_password
+    )
+
+    db_engine = sqlalchemy.create_engine(websocket_url)
+
+Enable the Jupyter SQL Extension
+
+.. code-block:: python
+
+    %load_ext sql
+    %sql db_engine
+
+
+
+Run queries against Exasol
+
+.. code-block:: python
+
+    %%sql
+    SELECT * FROM "FLIGHTS"."AIRLINE" LIMIT 10
 
 Positron
---------
\ No newline at end of file
+--------
+
+You can either connect to Exasol with pyexasol as described in :doc:`getting_started` or using JupySQL as described  in :ref:`jupyterlab`.
+
+pyCharm
+-------
+
+Please follow the instructions of the official documentation of `pyCharm <https://www.jetbrains.com/help/pycharm/exasol.html>`_.
\ No newline at end of file
diff --git a/doc/integrations.rst b/doc/integrations.rst
index a4f52de..9922dd5 100644
--- a/doc/integrations.rst
+++ b/doc/integrations.rst
@@ -1,14 +1,63 @@
 Integrations
 ============
 
+SQLAlchemy
+----------
+
+Install SQLAlchemy 
+
+.. code-block:: python
+
+    pip install sqlalchemy-exasol
+
+
+Connect to Exasol database using SQLAlchemy
+
+.. code-block:: python
+
+    from sqlalchemy import create_engine
+    url = "exa+websocket://<user>:<password>@<host>:<port>/<schema>?CONNECTIONLCALL=en_US.UTF-8"
+    e = create_engine(url)
+    r = e.execute("select 42 from dual").fetchall()
+
+Please also refer to `sqlalchemy exasol documentation <https://exasol.github.io/sqlalchemy-exasol/master/user_guide.html#user-guide>`_.
+
 JupySQL
 -------
 
+How to work with JupySQL in JupyterLab is described in :doc:`environments`.
+
 Pandas
 ------
 
+Importing Data into Pandas
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+You can fetch data from Exasol into a Pandas DataFrame using pyexasol. 
+
+.. code-block:: python
+
+    import pandas as pd
+
+    # Execute a query and fetch data into a Pandas DataFrame, Conn is an existing pyexasol connection.
+    df = conn.export_to_pandas('SELECT * FROM <your_table_name>')
+
+    # Display the DataFrame
+    print(df)
+
+Exporting Data from Pandas to Exasol
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+You can also export data from a Pandas DataFrame to an Exasol table.
+
+.. code-block:: python
+
+    # Assume you have a Pandas DataFrame `df` you wish to export
+    conn.import_from_pandas(df, '<your_target_table_name>')
+
 Ibis
 ----
 
-SQLAlchemy
-----------
+Please refer to the `IBIS documentation <https://ibis-project.org/backends/exasol>`_.
+
+