Your Machine Learning and Data Science Community
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Kaggle API allows you to harness a trove of data science and machine learning resources. With this API, you can download datasets, make competition submissions, and interact with Kaggle forums directly. By leveraging Pipedream's capabilities, you can automate repetitive tasks, integrate Kaggle with other applications, and create custom workflows to augment your data science projects.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kaggle: {
type: "app",
app: "kaggle",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.kaggle.com/api/v1/datasets/list`,
auth: {
username: `${this.kaggle.$auth.username}`,
password: `${this.kaggle.$auth.api_key}`,
},
params: {
"": ``,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});