Update docs about kedro convert (kedro-org#142)

docs/source/03_tutorial/04_create_pipelines.md

@@ -2,7 +2,7 @@
 
 This section covers how to create a pipeline from a set of `node`s, which are Python functions, as described in more detail in the [nodes and pipelines user guide](../04_user_guide/05_nodes_and_pipelines.md) documentation.
 
-1. As you draft experimental code, you can use a [Jupyter Notebook](../04_user_guide/10_ipython.md#working-with-kedro-projects-from-jupyter) or [IPython session](../04_user_guide/10_ipython.md). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will copy & paste the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file.
+1. As you draft experimental code, you can use a [Jupyter Notebook](../04_user_guide/10_ipython.md#working-with-kedro-projects-from-jupyter) or [IPython session](../04_user_guide/10_ipython.md). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will run `kedro jupyter convert --all` (or `kedro jupyter convert <filepath_to_my_notebook>`) to export the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file.
 2. When you are ready with a node you should add it to the pipeline in `src/kedro_tutorial/pipeline.py`, specifying its inputs and outputs.