Tutor LMS
Create, Manage, and Sell eLearning Courses on WordPress
Integrate the Tutor LMS API with the Python API
Setup the Tutor LMS API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Tutor LMS and Python remarkably fast. Free for developers.
Popular Tutor LMS and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Tutor LMS#
The Tutor LMS API provides hooks into the Tutor LMS ecosystem, enabling you to automate actions and manage data around courses, lessons, quizzes, and results within the learning management system. With Pipedream, you can build workflows that react to events in Tutor LMS, such as new course enrollments, or that push data to Tutor LMS to create or update resources. Utilizing Pipedream's ability to connect to multiple services, you can synchronize Tutor LMS data with other apps, trigger notifications, and streamline administrative tasks.
Connect Tutor LMS#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tutor_lms: {
type: "app",
app: "tutor_lms",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://${this.tutor_lms.$auth.url}/wp-json/tutor/v1/courses`,
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}