Removed SaaS references and added language definition (#28)

* sales forecating demo added in examples adjusted file size

* fixed some notebook documentation

* fixed download link

* rectified documentation

* rectified documentation

* pyexasol docs added

* zip file extraction code changed

* removed SaaS references and added custom SLC language defination

Author: BrownAbdullah

doc/examples/sales_forecasting/index.rst

@@ -28,7 +28,8 @@ What You'll Need
 
 You’ll need to:
 
-* Set up `AI-Lab <https://github.com/exasol/ai-lab>`_ (We recommend the Docker version because it comes with the Docker database. Alternatively, you can use `Exasol SaaS <https://cloud.exasol.com>`_).
+* Set up `AI-Lab <https://github.com/exasol/ai-lab>`_ (We recommend the Docker version because it comes with the Docker database. Alternatively, you can use onPrem DB).
+* This version of the demo is not compatible with SaaS database.
 * Download and import the notebooks zip file from :ref:`setup-sf`.
 
 What You'll Learn

doc/examples/sales_forecasting/sales_forecasting.zip

@@ -4,8 +4,7 @@
 Setup
 ======
 
-You will be needing `AI-Lab <https://github.com/exasol/ai-lab>`_ and an Exasol database. You can choose the Docker DB that comes with AI-Lab or
-use `Exasol SaaS <https://cloud.exasol.com>`_ and start with the free trial.
+You will be needing `AI-Lab <https://github.com/exasol/ai-lab>`_ and an Exasol database. You can use the Docker DB that comes with AI-Lab or an onPrem one.
 
 Once you have finished setting up with `AI-Lab <https://github.com/exasol/ai-lab>`_, we can proceed.
 
@@ -14,9 +13,9 @@ Beginner to `AI-Lab <https://github.com/exasol/ai-lab>`_
 
 If this is your first time using `AI-Lab <https://github.com/exasol/ai-lab>`_, follow these steps:
 
-* Start with the `main_config` file.
-* Go through all of the cells in the `main_config` file.
-* You have multiple database options: Docker (recommended), SaaS, and On-Prem.
+* Start with the `main_config` notebook.
+* Go through all of the cells in the `main_config` notebook.
+* You have multiple database options: Docker DB(recommended) and On-Prem.
 * The last cell creates a **schema** for you and ensures that you are connected to a database.
 * We can now proceed with our demo.
 
@@ -28,20 +27,23 @@ Download the Sales Forecasting Demo File
 * **Extract** the contents of the .zip file using your file explorer.
 * **Create** a folder inside the root folder of AI-Lab and name it "sales_forecasting".
 * **Upload** the files inside extracted folder into the "sales_forecasting" folder. Using the import button on the top right. 
-* **Alternatively** you can just upload the .zip file to JupyterLabs and unzip it using :ref:`below`.
+* **Alternatively** you can just upload the .zip file to JupyterLabs and unzip it using the :ref:`below`.
 * **Congratulations!** You’re all set, and now **we shall meet in AI-Lab**.
-* The notebooks are **numbered** so you can know which one to visit **first**.
+* Start from the `export_store_data` notebook and then move onto the `main`` notebook.
 
 .. _below:
 
-Unzip Files in JupyterLab
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Code to Unzip Files in JupyterLab
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
 .. code-block:: python
 
     import zipfile as zf
-    files = zf.ZipFile("sales_forecasting.zip", 'r')
-    files.extractall('sales_forecasting')
-    files.close()
+
+    # Open the zip file
+    with zf.ZipFile("sales_forecasting.zip", 'r') as files:
+    # Extract all contents directly to the current directory
+    files.extractall()