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.
Tag: open source
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,
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
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.
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
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
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
With my first open source software (OSS) experience over a decade ago, I was ecstatic. It was amazing to learn how easy it was to download the latest version on my personal computer, with no initial license fee. I was quickly able to analyse datasets using various statistical methods. Organisations