update getting started and docker docs (#4140)

Author: sungchun12

docs/cloud/features/scheduler/hybrid_executors_docker_compose.md

@@ -1,5 +1,7 @@
 # Tobiko Cloud Hybrid Executors - Docker Compose Setup
 
+<div style="position: relative; padding-bottom: 56.25%; height: 0;"><iframe src="https://www.loom.com/embed/37815ec3ff4d41ea9b456fe234e13ec4?sid=94254851-c411-462b-ad90-8d20c201f822" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe></div>
+
 This Docker Compose configuration allows you to run Tobiko Cloud hybrid executors locally or on any server that supports Docker Compose.
 
 Hybrid executors allow you to run operations on your own infrastructure while leveraging Tobiko Cloud for orchestration.

docs/cloud/tcloud_getting_started.md

@@ -102,7 +102,7 @@ First, open a terminal within your terminal/IDE (ex: VSCode). Then follow the fo
     ```bash linenums="1"
     uv venv --python 3.12 --seed  # create a virtual environment inside the project directory
     source .venv/bin/activate # activate the virtual environment
-    pip install -r requirements.txt # install the tcloud CLI
+    uv pip install -r requirements.txt # install the tcloud CLI
     which tcloud # verify the tcloud CLI is installed in the venv in the path above
     ```
 
@@ -139,10 +139,11 @@ Now we're ready to connect your data warehouse to Tobiko Cloud:
 
     ```yaml
     projects:
-        public-demo: # TODO: update this for the project name in the URL
-            url: https://cloud.tobikodata.com/sqlmesh/tobiko/public-demo/ # TODO: update for your unique URL
-            gateway: tobiko_cloud
-            extras: bigquery,web,github  # TODO: update bigquery for your data warehouse
+      public-demo: # TODO: update this for the project name in the URL
+        url: https://cloud.tobikodata.com/sqlmesh/tobiko/public-demo/ # TODO: update for your unique URL
+        gateway: tobiko_cloud
+        extras: bigquery,web,github  # TODO: update bigquery for your data warehouse
+        pip_executable: uv pip
     default_project: public-demo # TODO: update this for the project name in the URL
     ```