Are you looking for a specific CAS action to use in your project? Maybe you need to create a linear or logistic regression and can't seem to find the CAS action? In this post in the Getting Started with Python Integration to SAS® Viya® series, we are going to look
In the second post of the Getting Started with Python Integration to SAS® Viya® series we will learn about Working with CAS Actions and CASResults Objects. CAS actions are commands sent to the CAS server to run a task, and CASResults objects contain information returned from the CAS server. This
Index of articles on Getting Started with Python Integration to SAS® Viya®. Part 1 - Making a Connection Part 2 - Working with CAS Actions and CASResults Objects Part 3 - Loading a CAS Action Set Part 4 - Exploring Caslibs Part 5 - Uploading Data into CAS Part 6
Learning never stops. When SAS had to change this year’s SAS Global Forum (SASGF) to a virtual event, everyone was disappointed. I am, however, super excited about all of the papers and stream of video releases over the last month (and I encourage you to register for the upcoming live
With increasing interest in Continuous Integration/Continuous Delivery (CI/CD), many SAS Users want to know what can be done for Visual Analytics reports. In this article, I will explain how to use Python and SAS Viya REST APIs to extract a report from a SAS Viya environment and import it into another environment.
Welcome to the first post for the Getting Started with Python Integration to SAS Viya series! With the popularity of the Python programming language for data analysis and SAS Viya's ability to integrate with Python, I thought, why not create tutorials for users integrating the two? To begin the series
Whether you like it or not, Microsoft Excel is still a big hit in the data analysis world. From small to big customers, we still see fit for daily routines such as filtering, generating plots, calculating items on ad-hoc analysis or even running statistical models. Whenever I talk to customers,
SAS' Kris Stobbe shows how you can predict survival rates of Titanic passengers with a combination of both Python and CAS using SWAT, then see how the models performed.
Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model.
Bringing the power of SAS to your Python scripts can be a game changer. An easy way to do that is by using SASPy, a Python interface to SAS allowing Python developers to use SAS® procedures within Python. However, not all SAS procedures are included in the SASPy library. So,