Python for SAS Users: A SAS-Oriented Introduction to Python

Book Description

Business users familiar with Base SAS programming can now learn Python by example. You will learn via examples that map SAS programming constructs and coding patterns into their Python equivalents. Your primary focus will be on pandas and data management issues related to analysis of data.

It is estimated that there are three million or more SAS users worldwide today. As the data science landscape shifts from using SAS to open source software such as Python, many users will feel the need to update their skills. Most users are not formally trained in computer science and have likely acquired their skills programming SAS as part of their job.

As a result, the current documentation and plethora of books and websites for learning Python are technical and not geared for most SAS users. Python for SAS Users provides the most comprehensive set of examples currently available. It contains over 200 Python scripts and approximately 75 SAS programs that are analogs to the Python scripts. The first chapters are more Python-centric, while the remaining chapters illustrate SAS and corresponding Python examples to solve common data analysis tasks such as reading multiple input sources, missing value detection, imputation, merging/combining data, and producing output. This book is an indispensable guide for integrating SAS and Python workflows. 

What You’ll Learn

• Quickly master Python for data analysis without using a trial-and-error approach
• Understand the similarities and differences between Base SAS and Python
• Better determine which language to use, depending on your needs
• Obtain quick results

Who This Book Is For

SAS users, SAS programmers, data scientists, data scientist leaders, and Python users who need to work with SAS

中文：

书名：面向SAS用户的PYTHON：面向SAS的PYTHON简介

熟悉Base SAS编程的企业用户现在可以通过示例学习Python。您将通过示例了解如何将SAS编程结构和编码模式映射到它们的Python等效项。您的主要重点将是熊猫和与数据分析相关的数据管理问题。

据估计，目前全球有300万或更多的SAS用户。随着数据科学的版图从使用SAS转向使用开放源码软件(如Python)，许多用户将感到需要更新他们的技能。大多数用户没有接受过正式的计算机科学培训，很可能是作为工作的一部分获得了编程SA的技能。

因此，目前学习Python的文档和过多的书籍和网站都是技术性的，不适合大多数SAS用户。适用于SAS用户的Python 提供了目前可用的最全面的一组示例。它包含200多个Python脚本和大约75个类似于Python脚本的SAS程序。第一章更多地以Python为中心，而其余几章说明了SA和相应的Python示例，以解决常见的数据分析任务，如读取多个输入源、缺失值检测、补偿、合并/组合数据和生成输出。这本书是集成SAS和Python工作流不可或缺的指南。

你会学到什么

• 在不使用试错法的情况下快速掌握用于数据分析的Python
• 了解基本SAS和Python之间的异同
• 最好根据您的需要确定使用哪种语言
• 快速见效

Who This Book Is For

需要使用SAS的SAS用户、SAS程序员、数据科学家、数据科学家领导者和Python用户