Book description
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
Product information
- Title: Python for SAS Users: A SAS-Oriented Introduction to Python
- Author(s):
- Release date: September 2019
- Publisher(s): Apress
- ISBN: 9781484250013
You might also like
book
Python Algorithms: Mastering Basic Algorithms in the Python Language
Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, …
book
Practical Data Science with Python
Learn to effectively manage data and execute data science projects from start to finish using Python …
book
DevOps in Python: Infrastructure as Python
Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's …
book
Python and R for the Modern Data Scientist
Success in data science depends on the flexible and appropriate use of tools. That includes Python …