Add flowchart to explains the difference of bootstrap_project and configure_project

RELEASE.md

@@ -13,6 +13,7 @@
 * Added logging about not using async mode in `SequentiallRunner` and `ParallelRunner`.
 
 ## Documentation changes
+* Added documentations about `bootstrap_project` and `configure_project`.
 
 ## Community contributions
 

docs/source/kedro_project_setup/session.md

@@ -36,4 +36,31 @@
 - `save_on_close`: A boolean value to indicate whether or not to save the session to disk when it's closed
 - `env`: Environment for the `KedroContext`
 - `extra_params`: Optional dictionary containing extra project parameters
-for the underlying `KedroContext`; if specified, this will update (and therefore take precedence over) parameters retrieved from the project configuration
+for the underlying **`KedroContext`**; if specified, this will update (and therefore take precedence over) parameters retrieved from the project configuration
+
+## `bootstrap_project` and `configure_project`
+```{image} ../meta/images/kedro-session-creation.png
+:alt: mermaid-General overview diagram for KedroSession creation
+```
+
+% Mermaid code, see https://github.com/kedro-org/kedro/wiki/Render-Mermaid-diagrams
+% graph LR
+%  subgraph Kedro Startup Flowchart
+%    A[bootstrap_project] -->|Read pyproject.toml| B
+%    A -->|Add project root to sys.path| B[configure_project]
+%    C[Initialize KedroSession]
+%    B --> |Read settings.py| C
+%    B --> |Read pipeline_registry.py| C
+%  end
+
+Both `bootstrap_project` and `configure_project` handle the setup of a Kedro project, but there are subtle differences: `bootstrap_project` is used for project mode, and `configure_project` is used for packaged mode.
+
+Kedro's CLI runs the functions at startup as part of `kedro run` so in most cases you don't need to call these functions. If you want to [interact with a Kedro project programatically in an interactive session such as Notebook](../notebooks_and_ipython/kedro_and_notebooks.md#reload_kedro-line-magic), use `%reload_kedro` line magic with Jupyter or IPython. Only use these functions directly if none of these methods work.
+
+### `bootstrap_project`
+
+This function uses `configure_project` under the hood, and additionally reads metadata from `pyproject.toml` and adds the project root to `sys.path` so the project can be imported as a Python package. It is typically used to work directly with the source code of a Kedro project.
+
+### `configure_project`
+
+This function reads `settings.py` and `pipeline_registry.py` and registers the configuration before Kedro's run starts. If you have a packaged Kedro project, you only need to run `configure_project` before executing your pipeline.