Added API examples for IoT ESP project

IoT/README.md

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+# SAS REST API Examples
+
+## IoT
+
+This repository contains SAS contributed examples that show the capabilities of the IoT APIs. You can use these examples for learning or for validating your environment.
+
+You are encouraged to contribute your own examples in the [User Contributions repository](../User_and_Aggregated_Samples).
+
+## Examples
+* [Event Stream Processing](eventStreamProcessing.md)

IoT/eventStreamProcessing.md

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+# IoT Event Stream Processing APIs
+
+This repository contains SAS contributed examples that show the capabilities of the IoT Event Stream Processing APIs.
+
+* SAS Event Stream Manager is a web-based client that enables you to deploy projects and monitor the state of your SAS Event Stream Processing environment. 
+You can use SAS Event Stream Processing Studio to create the projects that you deploy to event stream processing (ESP) servers using SAS Event Stream Manager.
+
+* SAS Event Stream Processing Studio is a web-based client that enables you to create, test, and publish event stream processing models. 
+Publishing a project version from SAS Event Stream Processing Studio makes the project version available to SAS Event Stream Manager.
+
+## Examples
+* [Import, publish and run projects on Kubernetes cluster](eventStreamProcessing/python/import-and-publish-projects/README.md)

IoT/eventStreamProcessing/python/import-and-publish-projects/README.md

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+# Import, Publish, and Run Projects in a Kubernetes Cluster
+
+## Overview
+
+This Jupyter notebook uses the SAS Event Stream Processing Studio Rest API and the SAS Event Stream Manager Rest API to 
+import, publish, and run projects in a Kubernetes cluster.
+
+Use this example when SAS Event Stream Processing is deployed with other SAS Viya platform products, 
+and you are using SAS Event Stream Processing 2023.08 or later. 
+
+This Jupyter notebook uses the project XML files in the `xml_projects` folder and performs the following tasks:
+1. Check whether the projects have already been imported to SAS Event Stream Processing Studio.
+2. If a project has been previously imported, then import it using the next version number. Otherwise, import the project as version 1.
+3. Make the projects public so that they are visible to all users.
+4. Publish the projects from SAS Event Stream Processing Studio to SAS Event Stream Manager.
+5. Synchronize the projects.
+6. Create a SAS Event Stream Manager deployment whose type is "Cluster".
+7. Run the projects in the Kubernetes cluster. This action creates and starts an ESP server for each project.
+
+## Check Prerequisites
+
+Ensure that Python 3 is available and the following Python packages are available:
+- requests
+- json
+- epoch
+- urllib3
+- ElementTree
+- time
+
+## Using the Example
+1. Download the Python program or the Jupyter notebook file.
+2. Ensure that the `xml_projects` folder (which contains the project XML files used by this example) is located at the same level as this Jupyter notebook.
+3. Edit the following variables to match your environment:
+   - `server`: the URL of the SAS Viya platform server
+   - `username`
+   - `password`
+   - `chosen_deployment_name`: specify a name for the SAS Event Stream Manager deployment that this example creates
+4. Run the program or Jupyter notebook commands.
+
+## Endpoints Used by This Example
+
+_**Note:** The IoT SAS Event Stream Processing Studio Rest API and the SAS Event Stream Manager Rest API documentation 
+is currently for internal use only and not available to external customers on developers.sas.com. 
+You must be signed in with your SAS email address to access the content on the external site._
+
+### SAS Event Stream Processing Studio
+- [/esp-project](https://developers.sas.com/rest-apis/SASEventStreamProcessingStudio-v3?operation=getListModels) - List all projects
+- [/esp-project](https://developers.sas.com/rest-apis/SASEventStreamProcessingStudio-v3?operation=createProject) - Create a project
+- [/project-versions/projects/{projectId}/nextVersion](https://developers.sas.com/rest-apis/SASEventStreamProcessingStudio-v3?operation=getNextVersion) - Get the next version of a project
+- [/project-versions/projects/{projectId}](https://developers.sas.com/rest-apis/SASEventStreamProcessingStudio-v3?operation=createVersion) - Publish a file to the Files service
+- [/project-versions/projects/synchronize/{folderId}](https://developers.sas.com/rest-apis/SASEventStreamProcessingStudio-v3?operation=createSynchronizeProject) - Synchronize a published project with SAS Event Stream Manager
+
+### SAS Event Stream Manager
+- [/deployment](https://developers.sas.com/rest-apis/SASEventStreamManager-v3?operation=getListDeployments) - List all deployments
+- [/deployment](https://developers.sas.com/rest-apis/SASEventStreamManager-v3?operation=createDeployment) - Create a deployment
+- [/server/cluster](https://developers.sas.com/rest-apis/SASEventStreamManager-v3?operation=createStartProjectOnCluster) - Run a project in a cluster