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Python for SAS Users

A SAS-Oriented Introduction to Python

Authors: Betancourt, Randy, Chen, Sarah

  • Provides working code examples and detailed explanations
  • Helps SAS users easily upgrade and expand their existing skills
  • Uses real-world examples and common problems faced with data management and analysis tasks
  • Identifies areas where Python and SAS diverge, and illustrates options to converge them
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Buy this book

eBook $29.99
price for USA (gross)
  • The eBook version of this title will be available soon
  • Due: September 10, 2019
  • ISBN 978-1-4842-5001-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $39.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: September 23, 2019
  • ISBN 978-1-4842-5000-6
  • Free shipping for individuals worldwide
About this book

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

About the authors

Randy Betancourt’s professional career has been in and around data analysis. His journey began by managing a technical support group supporting over 2,000 technical research analysts and scientists from the US Environmental Protection Agency at one of the largest mainframe complexes run by the federal government. He moved to Duke University, working for the administration, to analyze staff resource utilization and costs. There, he was introduced to the politics of data access as the medical school had most of the data and computer resources.

He spent the majority of his career at SAS Institute Inc. in numerous roles, starting in marketing and later moving into field enablement and product management. He subsequently developed the role for Office of the CTO consultant.

Randy traveled the globe meeting with IT and business leaders discussing the impact of data analysis to drive their business. And they also discussed challenges they faced. At the same time, he talked to end users, wanting to hear their perspective. Together, these experiences shaped his understanding of trade-offs that businesses make allocating scarce resources to data collection, analysis, and deployment of models.

More recently, he has worked as an independent consultant for firms, including the International Institute of Analytics, Microsoft's SQL Server group, and Accenture's Applied Intelligence platform.

Sarah Chen has 12 years of analytics experience in banking and insurance, including personal auto pricing, compliance, surveillance, fraud analytics, sales analytics, credit risk modeling for business, and regulatory stress testing. She is a Fellow of both the Casualty Actuarial Society and the Society of Actuaries (FCAS, FSA), an actuary, data scientist, and innovator. 

Sarah's career began with five and a half years at Verisk Analytics in the Personal Auto Actuarial division, building predictive models for various ISO products. At Verisk, she learned and honed core skills in data analysis and data management. Her skills and domain expertise were broadened when she moved to KPMG, working with leading insurers, banks, and large online platforms on diverse business and risk management problems. 


Buy this book

eBook $29.99
price for USA (gross)
  • The eBook version of this title will be available soon
  • Due: September 10, 2019
  • ISBN 978-1-4842-5001-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $39.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: September 23, 2019
  • ISBN 978-1-4842-5000-6
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Python for SAS Users
Book Subtitle
A SAS-Oriented Introduction to Python
Authors
Copyright
2019
Publisher
Apress
Copyright Holder
Randy Betancourt, Sarah Chen
eBook ISBN
978-1-4842-5001-3
DOI
10.1007/978-1-4842-5001-3
Softcover ISBN
978-1-4842-5000-6
Edition Number
1
Number of Pages
XVII, 434
Number of Illustrations
119 b/w illustrations
Topics