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

Python for SAS Users: A SAS-Oriented Introduction to Python Front Cover
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2019-09-23
434 pages

Book Description

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 issues related to of data.

It is estimated that there are three million or more SAS users worldwide today. As the data science shifts from using SAS to software such as Python, many users will feel the need to update their skills. Most users are not formally trained in 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

Book Details

  • Title: Python for SAS Users: A SAS-Oriented Introduction to Python
  • Author: ,
  • Length: 434 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2019-09-23
  • ISBN-10: 1484250001
  • ISBN-13: 9781484250006
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