SAS Viya: The Python Perspective

Book Description

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
• Learn about 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.

Table of Contents

Chapter 1: Installing Python, SAS SWAT, and CAS
Chapter 2: The Ten-Minute Guide to Using CAS from Python
Chapter 3: The Fundamentals of Using Python with CAS
Chapter 4: Managing Your Data in CAS
Chapter 5: The CASAction and CASTable Objects
Chapter 6: Working with CAS Tables
Chapter 7: Data Exploration and Summary Statistics
Chapter 8: Modeling Continuous Variables
Chapter 9: Modeling Categorical Variables
Chapter 10: Advanced Topics
Appendix A: A Crash Course in Python
Appendix B: Troubleshooting

中文：

书名：SAS Viya: The Python Perspective

了解如何使用PYTHON和SASVIYA平台访问来自SAS云分析服务(CAS)的分析。

SystonPythonViya：The®透视图介绍了如何在SASViya平台上使用PYTHON客户端。SAS Viya是一种高性能、容错的分析架构，可部署在公共云基础架构和私有云基础架构上。虽然SAS Viya可以被各种SAS应用程序使用，但它还允许您访问SAS、Python、Lua和Java中的分析方法，以及通过使用HTTP或HTTPS的REST接口访问分析方法。这本书关注的是来自Python的SAS Viya的视角。

SAS Viya由多个组件组成。此生态系统的核心部分是SAS云分析服务(CAS)。CAS是基于云的服务器，所有客户端都与其通信以运行分析方法。通过使用Python程序员熟悉的对象和构造，可以使用Python客户端直接驱动CAS组件。

在使用本书之前，了解一些有关Python的知识会很有帮助；不过，还有一个附录介绍了CAS Python客户端中使用的Python特性。使用本书不需要具备CAS知识。但是，您需要设置并运行CAS服务器才能执行本书中的示例。

通过这本书，您将学习如何：

• 安装从Python访问CAS所需的组件
• 连接到CAS、加载数据并运行简单分析
• 使用Python用户熟悉的API使用CAS
• 了解有关CAS Python客户端的常规CAS工作流和高级功能的信息
• CASCASViya：®观点涵盖了对初学者和有经验的CAS端用户都很有用的主题。它包括从创建到CAS的连接到简单的统计和机器学习的示例，但作为桌面参考也很有用。

Table of Contents

第1章：安装Python、SAS SWAT和CAS
第2章：从Python使用CAS的十分钟指南
第3章：在CAS中使用Python的基础知识
第4章：在CAS中管理数据
第5章：CASAction和可强制转换对象
Chapter 6: Working with CAS Tables
第7章：数据探索和汇总统计
第8章：对连续变量进行建模
第9章：对分类变量进行建模
Chapter 10: Advanced Topics
附录A：Python速成教程
Appendix B: Troubleshooting