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
