This book is aimed at developers familiar with Base SAS programming who want to learn Python by example. Authors Randy Betancourt and Sarah Chen provide examples that map SAS programming constructs and coding patterns into their Python equivalents. The focus is on pandas and data management issues related to analysis of data. The book contains over 200 Python scripts and 75 SAS programs that are analogs to the Python scripts.

<ASIN:1484250001>

Author: Randy Betancourt and Sarah Chen
Publisher: APress
Date: September 2019
Pages: 434
ISBN: 978-1484250006
Print: 1484250001
Kindle: B07XJ9N497
Audience: SAS developers who want to learn Python
Level: Intermedaite
Category: Python

• 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

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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