Minor Improve documentation (#12)

docs/EXAMPLES.md

@@ -2,19 +2,19 @@
 
 ## Use customised adapter, provide jinja with further python methods
 
-When you want to add more methods to existing adapter and make this methods available to jinja.
-you can use `dbt_custom_adapter` variable and provide your adapter class.
+When you want to add more methods to existing adapter and make these methods available to jinja.
+you can use `dbt_custom_adapter` variable and use your adapter class with dbt.
 
-**Step-1:** Extend existing adapter
+**Step-1:** Extend existing adapter, add new methods to it.
 https://github.com/memiiso/opendbt/blob/a5a7a598a3e4f04e184b38257578279473d78cfc/opendbt/examples.py#L10-L26
 
-**Step-2:** Edit `dbt_project.yml` file, set `dbt_custom_adapter` variable to the class name of the new adapter.
+**Step-2:** Edit `dbt_project.yml` file, set `dbt_custom_adapter` variable to the class name of your custom adapter.
 ```yml
 vars:
   dbt_custom_adapter: opendbt.examples.DuckDBAdapterV2Custom
 ```
 
-**Step-3:** Run dbt, nwo dbt uses the provided adapter class.
+**Step-3:** Run dbt, now dbt is loading and using the provided adapter class.
 ```python
 from opendbt import OpenDbtProject
 
@@ -28,14 +28,16 @@ Using customized adapter and a custom materialization we can extend dbt to run l
 this is useful for the scenarios where data is imported from external API.
 
 **Step-1:** Extend existing adapter, Add new adapter method which runs given python code.
-
+Here we are extending DuckDBAdapter and adding new method `submit_local_python_job` to it. This method executes given
+python code as a subprocess
 https://github.com/memiiso/opendbt/blob/a5a7a598a3e4f04e184b38257578279473d78cfc/opendbt/examples.py#L10-L26
 
-**Step-2:** Create materialization, where from the jonja we call this new adapter method
+**Step-2:** Create materialization named `executepython`, In this materialization (from the jonja) we call this new(
+above) adapter method to run compiled python code
 
 https://github.com/memiiso/opendbt/blob/a5a7a598a3e4f04e184b38257578279473d78cfc/opendbt/macros/executepython.sql#L1-L26
 
-**Step-3:** Create model using the materialization
+**Step-3:** Creating a sample python model using the `executepython` materialization. which is executed locally by dbt.
 
 https://github.com/memiiso/opendbt/blob/a5a7a598a3e4f04e184b38257578279473d78cfc/tests/resources/dbttest/models/my_executepython_dbt_model.py#L1-L22
 
@@ -70,16 +72,16 @@ p.load_dbt_tasks(dag=dag, start_node=start, end_node=end)
 
 ## Create page on Airflow Server to serve DBT docs
 
-While its very practical to use airflow for dbt executions, it can be also used to server dbt docs.
+While its very practical to use airflow for dbt executions, it could also be used to server dbt docs.
 
 here is how:
 **Step-1:** Create python file under airflow `/{airflow}/plugins` directory, with following code.
-Adjust the given path to the folder where dbt docs are published
+Adjust the given path to the folder where dbt docs are published.
 
 https://github.com/memiiso/opendbt/blob/a5a7a598a3e4f04e184b38257578279473d78cfc/tests/resources/airflow/plugins/airflow_dbtdocs_page.py#L1-L6
 
 **Step-2:** Restart airflow, and check that new link `DBT Docs` is created.
 ![airflow-dbt-docs-link.png](assets%2Fairflow-dbt-docs-link.png)
 
-**Step-3:** open the link and browse dbt docs
+**Step-3:** open the link and browse dbt docs.
 ![airflow-dbt-docs-page.png](assets%2Fairflow-dbt-docs-page.png)