Azure ML studio designer python executor is outdated

Wasim Khan 20

Hey Team,

Explored a lot on Azure ML studio service and found the designer is helpful. Still an issue when I am using the Execute Python Script in the designer it is import all libraries older version and when checked its python version it was also outdated.
How can we upgrade to the latest still not able to figure it out. azuremldesignerpython

Wasim Khan 20 Reputation points

2025-03-04T10:59:04.1966667+00:00

I am using azure ml studio designer(classic) > Create a new pipeline using classic prebuilt components > components > Execute Python Script
kothapally Snigdha 1,635 Reputation points Microsoft External Staff

2025-03-05T22:34:55.29+00:00
Hi Wasim Khan

In Azure Machine Learning, there are two types of environments: curated and custom. Curated environments come with popular ML frameworks and tools and are available by default in your workspace. They are regularly updated by Azure for the latest releases and security patches. Custom environments, on the other hand, are user-defined and can be created using the az ml environment create command.

Curated environments are supported by cached Docker images, which help lower job preparation costs and speed up model deployment. You can use these environments directly for training or deployment by referencing them with the azure ml:<curated-environment-name>:<version> or azure ml:<curated-environment-name>@latest syntax. Additionally, you can use these curated environments as a base for your custom environments by modifying their Docker files.

You can see the set of available curated environments in the Azure Machine Learning studio UI, or by using the CLI (v2) via az ml environment list. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-serverless-compute?view=azureml-api-2&tabs=python And this: https://learn.microsoft.com/en-us/python/api/overview/azure/ai-ml-readme?view=azure-python

We are excited to introduce the GA of Azure Machine Learning Python SDK v2. The Python SDK v2 introduces new SDK capabilities like standalone local jobs, reusable components for pipelines and managed online/batch inferencing. Python SDK v2 allows you to move from simple to complex tasks easily and incrementally. This is enabled by using a common object model which brings concept reuse and consistency of actions across various tasks. The SDK v2 shares its foundation with the CLI v2 which is also GA. Source code | Package (PyPI) | Package (Conda) | API reference documentation | Product documentation | Samples This package has been tested with Python 3.7, 3.8, 3.9 and 3.10. For a more complete set of Azure libraries, see https://aka.ms/azsdk/python/all

I hope these helps you. Thank you!
kothapally Snigdha 1,635 Reputation points Microsoft External Staff

2025-03-08T01:13:07.55+00:00

Hi Wasim Khan

Following up to see if the response was helpful.

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