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Python for SAS users : a SAS-oriented introduction to Python / Randy Betancourt, Sarah Chen.

Betancourt, Randy, author.; Chen, Sarah, author.
2019
QA76.73.S27 B48 2019eb
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Title
Python for SAS users : a SAS-oriented introduction to Python / Randy Betancourt, Sarah Chen.
Author
Betancourt, Randy, author.
ISBN
9781484250013 (electronic book)
148425001X (electronic book)
9781484250006
DOI
https://doi.org/10.1007/978-1-4842-5001-3
https://doi.org/10.1007/978-1-4842-5
Published
New York : Apress, [2019]
Copyright
©2019
Language
English
Description
1 online resource : illustrations
Item Number
10.1007/978-1-4842-5001-3 doi
10.1007/978-1-4842-5
Call Number
QA76.73.S27 B48 2019eb
Dewey Decimal Classification
005.13/3
Summary
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 Youll 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.
Note
Includes index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 23, 2019).
Added Author
Chen, Sarah, author.
Available in Other Form
Python for SAS Users : A SAS-Oriented Introduction to Python
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Chapter 1: Why Python
Chapter 2: Python Types and Formatting
Chapter 3: pandas Library
Chapter 4: Indexing and GroupBy
Chapter 5: Data Management
Chapter 6: pandas Readers and Writers
Chapter 7: Date and Time
Chapter 8: saspy Module
Appendix A: Generating the Tickets DataFrame
Appendix B: Many-to-Many Use Case.

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