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within the same Python file, we can now use sas to execute SAS code or operate on SAS datasets. We can also get the full SAS session log at any point using print(sas.saslog()).
29 paź 2019 · 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; """ )
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.
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.
11 wrz 2024 · You can start a SAS session and run analytics from Python through a combination of object-oriented methods or explicit SAS code submission. You can move data between SAS data sets and Pandas dataframes and exchange values between python variables and SAS macro variables.
This package enables a Python developer to create mixed Python/SAS workflows to leverage the powers of both SAS and Python, by connecting a Python process to any of a variety of SAS deployments, where it will run SAS code.
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.
