Business users familiar with Baseprogramming can now learn by example. You will learn via examples that map programming constructs and coding patterns into their 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 moreusers worldwide today. As the data science landscape shifts from using SAS to open source software such as , 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
- Understand the inner workings of an assembly’s structural organization
- Work with reflection through the .NET Core platform
- Carry out dynamic code generation using the .NET Core API’s code document model (CodeDOM)
- Use the metadata mechanism of the .NET Core platform
Who This Book Is For
SAS users, SAS programmers, data scientists, data scientist leaders, and Python users who need to work with SAS
标签：Python, SAS, 数据分析
- Author:Randy Betancourt, Sarah Chen