SAS Viya

The Python Perspective

Nonfiction, Computers, Application Software, Business Software
Cover of the book SAS Viya by Kevin D. Smith, Xiangxiang Meng, SAS Institute
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Kevin D. Smith, Xiangxiang Meng ISBN: 9781629608839
Publisher: SAS Institute Publication: February 8, 2018
Imprint: SAS Institute Language: English
Author: Kevin D. Smith, Xiangxiang Meng
ISBN: 9781629608839
Publisher: SAS Institute
Publication: February 8, 2018
Imprint: SAS Institute
Language: English

Learn how to access analytics from SAS Cloud Analytic Services (CAS) using Python and the SAS Viya platform.

SAS Viya: The Python Perspective is an introduction to using the Python client on the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. While SAS Viya can be used by various SAS applications, it also enables you to access analytic methods from SAS, Python, Lua, and Java, as well as through a REST interface using HTTP or HTTPS.

This book focuses on the perspective of SAS Viya from Python. SAS Viya is made up of multiple components. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to run analytical methods. The Python client is used to drive the CAS component directly using objects and constructs that are familiar to Python programmers.

Some knowledge of Python would be helpful before using this book; however, there is an appendix that covers the features of Python that are used in the CAS Python client. Knowledge of CAS is not required to use this book. However, you will need to have a CAS server set up and running to execute the examples in this book.

With this book, you will learn how to:

  • Install the required components for accessing CAS from Python
  • Connect to CAS, load data, and run simple analyses
  • Work with CAS using APIs familiar to Python users
  • Grasp general CAS workflows and advanced features of the CAS Python client

SAS Viya: The Python Perspective covers topics that will be useful to beginners as well as experienced CAS users. It includes examples from creating connections to CAS all the way to simple statistics and machine learning, but it is also useful as a desktop reference.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Learn how to access analytics from SAS Cloud Analytic Services (CAS) using Python and the SAS Viya platform.

SAS Viya: The Python Perspective is an introduction to using the Python client on the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. While SAS Viya can be used by various SAS applications, it also enables you to access analytic methods from SAS, Python, Lua, and Java, as well as through a REST interface using HTTP or HTTPS.

This book focuses on the perspective of SAS Viya from Python. SAS Viya is made up of multiple components. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to run analytical methods. The Python client is used to drive the CAS component directly using objects and constructs that are familiar to Python programmers.

Some knowledge of Python would be helpful before using this book; however, there is an appendix that covers the features of Python that are used in the CAS Python client. Knowledge of CAS is not required to use this book. However, you will need to have a CAS server set up and running to execute the examples in this book.

With this book, you will learn how to:

SAS Viya: The Python Perspective covers topics that will be useful to beginners as well as experienced CAS users. It includes examples from creating connections to CAS all the way to simple statistics and machine learning, but it is also useful as a desktop reference.

More books from SAS Institute

Cover of the book JMP 14 Predictive and Specialized Modeling by Kevin D. Smith, Xiangxiang Meng
Cover of the book JMP 14 Reliability and Survival Methods by Kevin D. Smith, Xiangxiang Meng
Cover of the book SAS Text Analytics for Business Applications by Kevin D. Smith, Xiangxiang Meng
Cover of the book Analysis of Observational Health Care Data Using SAS by Kevin D. Smith, Xiangxiang Meng
Cover of the book SAS Programming in the Pharmaceutical Industry, Second Edition by Kevin D. Smith, Xiangxiang Meng
Cover of the book JMP 14 JSL Syntax Reference by Kevin D. Smith, Xiangxiang Meng
Cover of the book Decision Trees for Analytics Using SAS Enterprise Miner by Kevin D. Smith, Xiangxiang Meng
Cover of the book Business Survival Analysis Using SAS by Kevin D. Smith, Xiangxiang Meng
Cover of the book The Essential Guide to SAS Dates and Times, Second Edition by Kevin D. Smith, Xiangxiang Meng
Cover of the book Getting Started with the Graph Template Language in SAS by Kevin D. Smith, Xiangxiang Meng
Cover of the book Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner by Kevin D. Smith, Xiangxiang Meng
Cover of the book Infographics Powered by SAS by Kevin D. Smith, Xiangxiang Meng
Cover of the book Carpenter's Complete Guide to the SAS Macro Language, Third Edition by Kevin D. Smith, Xiangxiang Meng
Cover of the book Preparing Data for Analysis with JMP by Kevin D. Smith, Xiangxiang Meng
Cover of the book PROC TABULATE by Example, Second Edition by Kevin D. Smith, Xiangxiang Meng
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy