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Python for SAS Users - A SAS-Oriented Introduction to Python (Paperback, 1st ed.)
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Python for SAS Users - A SAS-Oriented Introduction to Python (Paperback, 1st ed.)
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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
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