Building an open source software community
Joseph Castle offers some important considerations that will help you when building and working in an OSS community.
Tag: open source
SAS and Open-Source Model Management (free eBook)
Turn analytical models into business value and smarter decisions with this special collection of papers about SAS Model Management. Without a structured and standardized process to integrate and coordinate all the different pieces of the model life cycle, a business can experience increased costs and missed opportunities. SAS Model Management solutions enable organizations to register, test, deploy, monitor, and retrain analytical models, leveraging any available technology – including open-source models in Python, R, and TensorFlow –into a competitive advantage.
Machine Learning with SASPy: Exploring and Preparing your data - Part 3
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.
Adding SAS® procedures to the SASPy interface to Python
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,
developer.sas.com 2.0: More than just a pretty interface
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
Using Python to run jobs in your SAS Grid
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 RStudio with SAS Viya
Getting started with SAS Viya and RStudio -- making the connection, and submitting my first commands via CAS actions.
How to code in Python with SAS 9.4
The SAS® platform is now open to be accessed from open-source clients such as Python, Lua, Java, the R language, and REST APIs to leverage the capabilities of SAS® Viya® products and solutions. You can analyze your data in a cloud-enabled environment that handles large amounts of data in a
SAS Viya: What’s in it for me? The user.
If you’re in the field of analytics, you’ve undoubtedly heard about SAS Viya. Designed for all analytic professionals, regardless of skills or experience, SAS Viya seamlessly handles big, complex, diverse data. It also supports any programming language, allowing analysts to choose the tool that makes them most productive. Recently a colleague
Calling SAS Data Quality jobs from Python
With DataFlux Data Management 2.7, the major component of SAS Data Quality and other SAS Data Management solutions, every job has a REST API automatically created once moved to the Data Management Server. This is a great feature and enables us to easily call Data Management jobs from programming languages