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, […]
Adding SAS® procedures to the SASPy interface to Python was published on SAS Users.
Site relaunches with improved content, organization and navigation. In 2016, a cross-divisional SAS team created developer.sas.com. Their mission: Build a bridge between SAS (and our software) and open source developers. The initial effort made available basic information about SAS® Viya® and integration with open source technologies. In June 2018, the […]
developer.sas.com 2.0: More than just a pretty interface was published on SAS Users.
Generating a word cloud (also known as a tag cloud) is a good way to mine internet text. Word (or tag) clouds visually represent the occurrence of keywords found in internet data such as Twitter feeds.
Creating a word cloud using Python and SAS® software was published on SAS Users.
This article continues a series that began with Machine learning with SASPy: Exploring and preparing your data (part 1). Part 1 showed you how to explore data using SASPy with Python. Here, in part 2, you will learn how to begin to prepare your data to use it within a […]
Machine learning with SASPy: Exploring and preparing your data (part 2) was published on SAS Users.
One of the features of SAS Grid Manager (and SAS Grid Manager for Platform) introduced in SAS 9.4 M6 is the capability for the grid provider software to handle open-source workloads in addition to traditional SAS jobs. In this post, we’ll take a look at the steps required to get your SAS Grid Manager environment set up to utilize this functionality, and we’ll demonstrate the process of submitting Python code for execution in the SAS Grid.
Using Python to run jobs in your SAS Grid was published on SAS Users.
SASPy is a powerful Python library that interfaces with SAS and can help with your machine-learning solutions. SASPy was created for Python programmers to leverage the power of SAS within their Python scripts. If you are not familiar with SASPy, see the following resources: Introducing SASPy: Use Python code to […]
Machine learning with SASPy: Exploring and preparing your data (part 1) was published on SAS Users.
Editor’s Note: This article was translated and edited by SAS USA and was originally written by Makoto Unemi. The original text is here. SAS previously provided SAS Scripting Wrapper for Analytics Transfer (SWAT), a package for using SAS Viya functions from various general-purpose programming languages such as Python. In addition […]
SAS Viya: Package for Python API for deep learning and image processing: DLPy was published on SAS Users.
You can now easily embed a python script in a SAS decision with SAS Intelligent Decisioning. If you want to execute in MAS, you do not need to wrap it in DS2 anymore. The python code node does it for you. Here is how you can achieve it in less than 5 minutes.
Execute Python inside a SAS Decision: Learn how in less than 5 minutes was published on SAS Users.