[Ready] Changes to improve existing content about notebook development & kedro

docs/source/development/commands_reference.md

@@ -543,7 +543,7 @@ To start an IPython shell:
 kedro ipython
 ```
 
-The [Kedro IPython extension](../notebooks_and_ipython/kedro_and_notebooks.md#a-custom-kedro-kernel) makes the following variables available in your IPython or Jupyter session:
+The [Kedro IPython extension](../notebooks_and_ipython/kedro_and_notebooks.md#what-does-kedro-jupyter-notebook-do) makes the following variables available in your IPython or Jupyter session:
 
 * `catalog` (type `DataCatalog`): [Data Catalog](../data/data_catalog.md) instance that contains all defined datasets; this is a shortcut for `context.catalog`
 * `context` (type `KedroContext`): Kedro project context that provides access to Kedro's library components

docs/source/faq/faq.md

@@ -8,7 +8,7 @@ This is a growing set of technical FAQs. The [product FAQs on the Kedro website]
 
 ## Working with Jupyter
 
-* [How can I convert functions from Jupyter Notebooks into Kedro nodes](../notebooks_and_ipython/kedro_and_notebooks.md#convert-functions-from-jupyter-notebooks-into-kedro-nodes)?
+* [How can I convert functions from Jupyter Notebooks into Kedro nodes](../notebooks_and_ipython/kedro_and_notebooks.md#how-to-use-tags-to-convert-functions-from-jupyter-notebooks-into-kedro-nodes)?
 
 * [How do I connect a Kedro project kernel to other Jupyter clients like JupyterLab](../notebooks_and_ipython/kedro_and_notebooks.md#ipython-jupyterlab-and-other-jupyter-clients)?
 

docs/source/kedro_project_setup/starters.md

@@ -47,7 +47,7 @@ kedro starter list
 The Kedro team maintains the following starters for a range of Kedro projects:
 
 * [`astro-airflow-iris`](https://github.com/kedro-org/kedro-starters/tree/main/astro-airflow-iris): The [Kedro Iris dataset example project](../get_started/new_project.md) with a minimal setup for deploying the pipeline on Airflow with [Astronomer](https://www.astronomer.io/).
-* [`standalone-datacatalog`](https://github.com/kedro-org/kedro-starters/tree/main/standalone-datacatalog): A minimum setup to use the traditional [Iris dataset](https://www.kaggle.com/uciml/iris) with Kedro's [`DataCatalog`](../data/data_catalog.md), which is a core component of Kedro. This starter is of use in the exploratory phase of a project. For more information, read the guide to [standalone use of the `DataCatalog`](../notebooks_and_ipython/kedro_and_notebooks.md). This starter was formerly known as `mini-kedro`.
+* [`standalone-datacatalog`](https://github.com/kedro-org/kedro-starters/tree/main/standalone-datacatalog): A minimum setup to use the traditional [Iris dataset](https://www.kaggle.com/uciml/iris) with Kedro's [`DataCatalog`](../data/data_catalog.md), which is a core component of Kedro. This starter is of use in the exploratory phase of a project. It was formerly known as `mini-kedro`.
 * [`pandas-iris`](https://github.com/kedro-org/kedro-starters/tree/main/pandas-iris): The [Kedro Iris dataset example project](../get_started/new_project.md)
 * [`pyspark-iris`](https://github.com/kedro-org/kedro-starters/tree/main/pyspark-iris): An alternative Kedro Iris dataset example, using [PySpark](../integrations/pyspark_integration.md)
 * [`pyspark`](https://github.com/kedro-org/kedro-starters/tree/main/pyspark): The configuration and initialisation code for a [Kedro pipeline using PySpark](../integrations/pyspark_integration.md)

docs/source/notebooks_and_ipython/index.md

@@ -1,12 +1,17 @@
 # Kedro for notebook users
 
 
-You can take advantage of a notebook's liberal development environment for exploratory data analysis and experimentation from within a Kedro project. Later, when you need to follow software best practices as the project complexity increases, or as you scale into production, you can transfer code from the notebook into Kedro to benefit from its opinionated project framework.
+If you are familiar with notebooks, you probably find their liberal development environment perfect for exploratory data analysis and experimentation.
 
+Kedro makes it easier to organise your code into a shareable project, and you may decide to transition to Kedro for collaboration purposes, or if your code becomes more complex.
+
+There is flexibility in the ways you can combine notebooks and Kedro. For example, it's possible to gradually introduce Kedro techniques into your notebook code. Likewise, it is possible to take a Kedro project and add a notebooks to explore data or experimental features.
+
+**Add a notebook to your existing Kedro project**
+The page titled [Use a Jupyter notebook for Kedro project experiments](./kedro_and_notebooks.md) describes how to set up a notebook to access the elements of a Kedro project for experimentation. If you have an existing Kedro project but want to use notebook features to explore your data and experiment with pipelines, this is the page to start.
 
 ```{toctree}
 :maxdepth: 1
 
 kedro_and_notebooks
-kedro_as_a_data_registry
 ```