Add instructions for using pre-commit on notebooks (#178)

* Add instructions for using pre-commit on notebooks

* End list entry with period

* Update docs-and-notebooks.qmd

nasa-veda-platform/adding-content/docs-and-notebooks.qmd

@@ -18,16 +18,24 @@ There are two template notebooks in this section that you can use as a starting
 
  * [Using the raster API: `template-using-the-raster-api.ipynb`](/notebooks/templates/template-using-the-raster-api.ipynb)
 
- * [Accessing the data directly: `template-accessing-the-data-directly.ipynb`](/notebooks/templates/template-accessing-the-data-directly.ipynb) 
+ * [Accessing the data directly: `template-accessing-the-data-directly.ipynb`](/notebooks/templates/template-accessing-the-data-directly.ipynb)
 
 
 ### Style
 
 - Each code cell should come after a markdown cell with some explanatory text. This is preferred over comments in the code cells.
 - The max header should be `##`.
 - Only include imports that are needed for the notebook to run.
-- We don't enforce any formatting, but periodically run black on all the notebooks. If you would like to run black yourself do `pip install black[jupyter]` and then `black`.
+- We don't enforce any formatting, but periodically run black on all the notebooks. We also encourage you to run black on your notebooks via pre-commit, following the instructions below on automatic linting with pre-commit.
 
+#### Automatic linting with pre-commit
+
+This repository is configured with [pre-commit](https://pre-commit.com/), which can automatically lint your notebooks anytime you git commit changes. Follow these steps to enable pre-commit (you only need to do this once):
+
+1. Install the [pre-commit library](https://pre-commit.com/#install).
+2. Open a terminal.
+3. Navigate to the root of the veda-docs repository.
+4. Run `pre-commit install`.
 
 ### Rendering information
 
@@ -50,7 +58,7 @@ We store evaluated notebooks in this repository. So before you commit your noteb
 
 Normally we run the notebooks on [VEDA JupyterHub](https://hub.openveda.cloud).
 
-To run the notebooks with a new image, use the JupyterHub image selection interface and under "Custom Image" type in the address to the public ecr image with the full tag sha. 
+To run the notebooks with a new image, use the JupyterHub image selection interface and under "Custom Image" type in the address to the public ecr image with the full tag sha.
 
 Something like: public.ecr.aws/nasa-veda/pangeo-notebook:60b023fba2ca5f9e19d285c245987e368e27c0ea626b65777b204cec14b697c7