Everything is Better with Friends: Executing SAS code in Python scripts with SASPy

Materials from a Webinar for the Westat SAS Users Group on June 23, 2022.

Materials provided:

• Examples as interactive Google Colab Notebooks:

  • Part A. SASPy Data Round Trip
  • Part B. SAS analytics using Python syntax
  • Part C. Dataset Explorer Demo

• Slides as a PDF file

Accounts Needed

In order to interact with code examples, accounts for the following two online services will be needed:

• Google

  • We'll be using Google accounts to run code examples in https://colab.research.google.com/
  • If you don't already have a Google Account, you can create one for free at https://accounts.google.com/signup

• SAS OnDemand for Academics (ODA)

  • We'll be accessing ODA accounts from Google Colab, which will require you to know the Region associated with your ODA account. (The Region for an ODA account is typically displayed in the upper-right corner after logging in.)
  • If you don't already have an ODA account, you can create one for free at https://welcome.oda.sas.com/
  • Note: To create an ODA account, you will also need a SAS Profile account. If you don't already have a SAS Profile account, you can create one for free using the "Don't have a SAS Profile?" link on the ODA login page.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Authors

• ilankham
• mtslaugh

Disclaimer

This project is in no way affiliated with SAS Institute Inc.