Update lp.py (flyteorg#181)

* Update lp.py

"How to add launch plans" page has been integrated into Launch Plans.

* Update lp.py (flyteorg#183)

"How to add launch plans" page has been integrated into Launch Plans.

Co-authored-by: SandraGH5 <[email protected]>

* Update lp.py

* Sandra gh5 launch plans how to (flyteorg#184)

* Update lp.py

"How to add launch plans" page has been integrated into Launch Plans.

* Update lp.py

Co-authored-by: SandraGH5 <[email protected]>

* Update cookbook/core/flyte_basics/lp.py

Co-authored-by: Samhita Alla <[email protected]>

* Update cookbook/core/flyte_basics/lp.py

Co-authored-by: Samhita Alla <[email protected]>

* Update lp.py

Co-authored-by: Niels Bantilan <[email protected]>
Co-authored-by: Samhita Alla <[email protected]>

cookbook/core/flyte_basics/lp.py

@@ -1,21 +1,29 @@
 """
-.. _launch_plans:
-
 Launch Plans
-----------------------
+-------------
 
-Launch plans bind a partial or complete list of inputs necessary to launch a workflow along
+Launch plans bind a partial or complete list of inputs necessary to launch a workflow, along
 with optional run-time overrides such as notifications, schedules and more.
 Launch plan inputs must only assign inputs already defined in the reference workflow definition.
 """
 
 import calendar
 
 # %%
+# When To Use Launch Plans
+# ########################
+#
+# - For multiple schedules of a workflow with zero or more predefined inputs
+# - To run a specific workflow but with a different set of notifications
+# - To share a workflow with set inputs with another user, allowing the other user to simply kick off an execution
+# - To share a workflow with another user, making sure that some inputs can be overridden if needed
+# - To share a workflow with another user, ensuring that some inputs are not changed
+#
 # Launch plans are the only means for invoking workflow executions.
-# By default, a 'default' launch plan will be created during the serialization (and registration process),
+# A 'default' launch plan will be created during the serialization (and registration process),
 # which will optionally bind any default workflow inputs and any default runtime options specified in the project
 # flytekit config (such as user role, etc).
+#
 # The following example creates a default launch plan with no inputs during serialization.
 import datetime
 
@@ -43,19 +51,19 @@ def my_wf(val: int) -> int:
 square_5 = my_lp(val=5)
 
 # %%
-# In some cases you may want to **fix** launch plan inputs, such that they can't be overridden at execution call time.
-my_fixed_lp = LaunchPlan.create("always_2_lp", my_wf, fixed_inputs={"val": 4})
+# It is possible to **fix** launch plan inputs, so that they can't be overridden at execution call time.
+my_fixed_lp = LaunchPlan.get_or_create(name="always_2_lp", workflow=my_wf, fixed_inputs={"val": 4})
 square_2 = my_fixed_lp()
 # error:
 # square_1 = my_fixed_lp(val=1)
 
 # %%
-# Putting it all together
+# Putting It All Together
 # #######################
 #
-# Default and fixed inputs can all be used in combination together to simplify individual executions
-# or even programmatic ones.
-# Let's take a look at a trivial example where we enthusiastically greet each day of the upcoming week:
+# Default and fixed inputs can be used together to simplify individual executions
+# and programmatic ones.
+# Here is a simple example to greet each day of the upcoming week:
 
 
 @task