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  1. 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.

  2. This paper describes a project that combines the strengths of both SAS and Python for PDF editing. This includes: Bookmarks – Renaming and re-arranging parent/child bookmarks. Hyperlinks or Annotations – Adjusting internal page links and external file PDF links.

  3. SASPy Examples. Overview. This repository contains sample notebooks that show the capabilities of SASPy. Use these for learning and for validating your environment. And contribute your own! /SAS_contrib contains sample Python Notebooks that are created by SAS.

  4. 29 paź 2019 · 1. Ditch the .sas file and put it's contents directly into your notebook as such: results_dict = sas.submit( """ libname tera teradata server=teracop1 user=user pw=pw; proc print data=tera.dsname (obs=10); run; """ ) 2. Read the file contents into Python and then submit:

  5. 10 sty 2018 · Learn about the openness of SAS® 9.4, how to code in Python with SAS 9.4, the SASPy package, SAS kernel for Jupyter Notebook and more.

  6. 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.

  7. 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.

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