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  1. 10 maj 2022 · Not only you can run Python statements from SAS, but you can leverage built-in accelerators (PROC PYTHON callback methods) to streamline the process between SAS and Python: share macro-variables, invoke SAS functions, run SAS code, transfer data back and forth between SAS and Python.

  2. This paper provides several examples of common data-analysis tasks using both regular SAS code and SASPy within a Python script, highlighting important tradeoffs for each and emphasizing the value of being a polyglot programmer fluent in multiple languages.

  3. 9 wrz 2022 · In SAS Studio it is possible to create custom tasks and steps that run not only SAS code, but also Python code. Read on and I’ll show you how to create a custom step that will run Python...

  4. 8 kwi 2017 · Thanks to a new open source project from SAS, Python coders can now bring the power of SAS into their Python scripts. The project is SASPy, and it's available on the SAS Software GitHub. It works with SAS 9.4 and higher, and requires Python 3.x. I spoke with Jared Dean about the SASPy project.

  5. 17 wrz 2024 · Examples. Example 3: Submit SAS Code and Call a SAS Function within PROC PYTHON. Details. This example demonstrates how the SAS.submit callback method can be used to submit SAS code within a block of Python code. In this example, use the SAS.submit callback method to create a data set called Test.

  6. 12 sty 2023 · Steps to Use Python in a SAS Decision. Write the Python code. Test the Python code: On a machine with Python; With SAS Studio: Write a Python program directly, or; Write a SAS program with PROC PYTHON. Write the Python code file in SAS Intelligent Decisioning. Test the Python code file. Add the Python code file to a decision. Test the decision.

  7. 10 sty 2018 · The SASPy package enables you to connect to and run your analysis from SAS 9.4 using the object-oriented methods and objects from the Python language as well as the Python magic methods. SASPy translates the objects and methods added into the SAS code before executing the code.

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