Flow code storage docs improvements

docs/3.0/deploy/infrastructure-concepts/customize.mdx

@@ -3,7 +3,7 @@ title: Override job variables
 description: Learn how to override job variables on a work pool for a given deployment.
 ---
 
-There are two ways to deploy flows to work pools: using a `prefect.yaml` file or using the `.deploy()` method. 
+There are two ways to deploy flows to work pools: with a []`prefect.yaml` file]() or using the Python`deploy` method. 
 In both cases, you can override job variables on a work pool for a given deployment.
 
 This guide explores common patterns for overriding job variables in 

docs/3.0/deploy/infrastructure-concepts/deploy-via-python.mdx

@@ -65,6 +65,7 @@ To deploy a flow using `flow.deploy` and Docker, follow these steps:
         ```python example.py
         from prefect import flow
 
+
         @flow(log_prints=True)
         def my_flow(name: str = "world"):
             print(f"Hello, {name}!")
@@ -75,10 +76,12 @@ To deploy a flow using `flow.deploy` and Docker, follow these steps:
         ```python example.py
         from prefect import flow
 
+
         @flow(log_prints=True)
         def my_flow(name: str = "world"):
             print(f"Hello, {name}!")
 
+
         if __name__ == "__main__":
             my_flow.deploy(
                 name="my-deployment",
@@ -145,10 +148,12 @@ To deploy a flow with a schedule, you can use one of the following options:
     from datetime import timedelta
     from prefect import flow
 
+
     @flow(log_prints=True)
     def my_flow(name: str = "world"):
         print(f"Hello, {name}!")
 
+
     if __name__ == "__main__":
         my_flow.deploy(
             name="my-deployment",
@@ -168,10 +173,12 @@ To deploy a flow with a schedule, you can use one of the following options:
     ```python cron.py
     from prefect import flow
 
+
     @flow(log_prints=True)
     def my_flow(name: str = "world"):
         print(f"Hello, {name}!")
 
+
     if __name__ == "__main__":
         my_flow.deploy(
             name="my-deployment",
@@ -192,10 +199,12 @@ To deploy a flow with a schedule, you can use one of the following options:
     ```python rrule.py
     from prefect import flow
 
+
     @flow(log_prints=True)
     def my_flow(name: str = "world"):
         print(f"Hello, {name}!")
 
+
     if __name__ == "__main__":
         my_flow.deploy(
             name="my-deployment",
@@ -221,10 +230,12 @@ To deploy a flow with a schedule, you can use one of the following options:
     from prefect import flow
     from prefect.client.schemas.schedules import IntervalSchedule
 
+
     @flow(log_prints=True)
     def my_flow(name: str = "world"):
         print(f"Hello, {name}!")
 
+
     if __name__ == "__main__":
         my_flow.deploy(
             name="my-deployment",
@@ -271,6 +282,7 @@ Here's an example of loading a flow from a Git repository and deploying it:
 ```python git-deploy.py
 from prefect import flow
 
+
 if __name__ == "__main__":
     flow.from_source(
         source="https://github.com/username/repository.git",
@@ -299,10 +311,12 @@ You can set default parameters for a deployment using the `parameters` keyword a
 ```python default-parameters.py
 from prefect import flow
 
+
 @flow
 def my_flow(name: str = "world"):
     print(f"Hello, {name}!")
 
+
 if __name__ == "__main__":
     my_flow.deploy(
         name="my-deployment",
@@ -325,11 +339,13 @@ The job variables provided will override the values set on the work pool.
 import os
 from prefect import flow
 
+
 @flow
 def my_flow():
     name = os.getenv("NAME", "world")
     print(f"Hello, {name}!")
 
+
 if __name__ == "__main__":
     my_flow.deploy(
         name="my-deployment",
@@ -354,14 +370,17 @@ If you want to deploy multiple flows at once, use the `deploy` function.
 ```python multi-deploy.py
 from prefect import flow, deploy
 
+
 @flow
 def my_flow_1():
     print("I'm number one!")
 
+
 @flow
 def my_flow_2():
     print("Always second...")
 
+
 if __name__ == "__main__":
     deploy(
         # Use the `to_deployment` method to specify configuration