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

# Code Execution

> Execute a python function on every row

The `CodeExecution` dynamic column will execute a python function on every row of your dataset.

This can be useful to transform your data, which is often useful as an intermediary step for running evaluations or prompts.

**Output type**: `any`

#### Inputs

* **Code**: The code to be executed.

The python function must be named `main`.

The function will receive the row as a dictionary and should return the transformed row.

For example:

```python
# Function name should be main only. You can access any column of the row using the kwargs.
def main(**kwargs):
    return kwargs['query'].replace(' ', '_')
```

<Tip>You can access data from any column using `kwargs.get('COLUMN_NAME')`</Tip>

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### Limitations

You cannot import any external libraries in the code execution dynamic column.

The code execution dynamic column only supports the standard Python libraries.