Kaggle
Your Machine Learning and Data Science Community
Integrate the Kaggle API with the Go API
Setup the Kaggle API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Kaggle and Go remarkably fast. Free for developers.
Popular Kaggle and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Kaggle#
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.
Connect Kaggle#
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: {
"": ``,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}