Setting Up Your SAS and Python Environments

This document provides a pre-module guide for setting up Python and SAS environments for a “Python for Clinical Trials” course. It outlines recommended options for running each programming language, emphasizing flexibility in choice. For Python, users can opt for a local installation with Anaconda and Jupyter Notebooks for robust control or a cloud-based solution like Google Colaboratory (Colab) for zero local setup. Similarly, for SAS, the guide strongly recommends cloud-based SAS OnDemand for Academics due to its free, full-featured access, while also mentioning SAS University Edition as an older, local alternative requiring a virtual machine. The overarching goal is to ensure students are equipped with the necessary tools to actively participate in the course.

This document provides a pre-module guide for setting up Python and SAS environments for a "Python for Clinical Trials" course. It outlines recommended options for running each programming language, emphasizing flexibility in choice. For Python, users can opt for a local installation with Anaconda and Jupyter Notebooks for robust control or a cloud-based solution like Google Colaboratory (Colab) for zero local setup. Similarly, for SAS, the guide strongly recommends cloud-based SAS OnDemand for Academics due to its free, full-featured access, while also mentioning SAS University Edition as an older, local alternative requiring a virtual machine. The overarching goal is to ensure students are equipped with the necessary tools to actively participate in the course.