> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kinetixml.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Python

> An overview of the Python library for deploying Kinetix ML pipelines.

## KMLPipeline

A Kinetix ML Pipeline object which can be used to load and execute pipelines from the Kinetix ML platform.

### Example

```Python theme={null}
pipeline = KMLPipeline("[Your Project Name]", "[Your API Key]")
```

### Methods

#### Initialize (async)

Loads the Kinetix ML Pipeline from the Kinetix ML platform for execution later.

```Python theme={null}
pipeline.initialize()
```

#### Execute (async)

Executes the loaded Kinetix ML Pipeline given the correct inputs and returns the outputs.

```Python theme={null}
outputs = pipeline.execute([]) # the [] should be replaced with your list of inputs
```