Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026. We will start enforcing it in phases. For more information on the details of Python end of life and migration options, see the [ blog post ](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/) that was published on June 30, 2025. 

# Python language support for UDFs
<a name="udf-python-language-support"></a>

You can create a custom UDF based on the Python programming language. The [Python 2.7 standard library](https://docs.python.org/2/library/index.html) is available for use in UDFs, with the exception of the following modules:
+ ScrolledText
+ Tix
+ Tkinter
+ tk
+ turtle
+ smtpd

In addition to the Python Standard Library, the following modules are part of the Amazon Redshift implementation:
+ [numpy 1.8.2](http://www.numpy.org/)
+ [pandas 0.14.1](https://pandas.pydata.org/)
+ [python-dateutil 2.2](https://dateutil.readthedocs.org/en/latest/)
+ [pytz 2014.7](https://pypi.org/project/pytz/2014.7/)
+ [scipy 0.12.1](https://www.scipy.org/)
+ [six 1.3.0](https://pypi.org/project/six/1.3.0/)
+ [wsgiref 0.1.2](https://pypi.python.org/pypi/wsgiref)

You can also import your own custom Python modules and make them available for use in UDFs by executing a [CREATE LIBRARY](r_CREATE_LIBRARY.md) command. For more information, see [Example: Importing custom Python library modules](udf-importing-custom-python-library-modules.md).

**Important**  
Amazon Redshift blocks all network access and write access to the file system through UDFs.

**Note**  
Python 3 isn’t available for Python UDFs. To get Python 3 support for Amazon Redshift UDFs, use [Scalar Lambda UDFs](udf-creating-a-lambda-sql-udf.md) instead.