# Python

The Python connector allows you to write and execute custom Python (opens new window) code as part of a recipe.

A popular, easy-to-learn language, Python is commonly used for developing web applications, data pipelines, and machine learning projects.

# Usage Inspiration

Using Workato's Python connector, you could:

Transform data, such as date formats
Convert file formats, such as CSV to JSON
Chunk large amounts of data (including files) to make it easier to perform downstream operations. For example: breaking a batch of 5000 records into chunks of 500 to prevent an API timeout.

The Python connector runs Python 3.9 or later.

In addition to the standard libraries included in Python 3.9 or later (opens new window), this connector also supports the following libraries:

Additional libraries aren't currently supported.

When using the Python connector, note that:

Scripts can be a maximum of 1MB. While scripts that exceed this limit may run, they could cause memory issues.
Total memory overhead provisioned for the Python action is 256MB. This include all libraries, temporary memory and inputs sent to the Python action.
- When dealing with CSV files, we recommend files no larger than 20MB CSVs when used with the Pandas library due to temporary storage required by Pandas
- When dealing with Excel files, we recommend files no larger than 5MB files when used with the Pandas library due to temporary storage required by Pandas and Excel being a compressed form of data which is uncompressed when used with Pandas.
Actions will time out after 90 seconds
User-provided libraries aren't currently supported

The Python connector supports these actions:

The Python connector doesn't require any setup configuration. Search for Python in the Apps tab and click the icon to get started.

Last updated: 7/4/2023, 5:01:11 AM