عنوان

Python for SAS users :

(Number (ISBN

1484250001

(Number (ISBN

148425001X

(Number (ISBN

1484250028

(Number (ISBN

9781484250006

(Number (ISBN

9781484250013

(Number (ISBN

9781484250020

Erroneous ISBN

9781484250006

Title Proper

Python for SAS users :

General Material Designation

[Book]

Other Title Information

a SAS-oriented introduction to Python /

First Statement of Responsibility

Randy Betancourt, Sarah Chen.

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

[2019]

Date of Publication, Distribution, etc.

©2019

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references and index.

Text of Note

Chapter 1: Why Python -- Chapter 2: Python Types and Formatting -- Chapter 3: pandas Library -- Chapter 4: Indexing and GroupBy -- Chapter 5: Data Management -- Chapter 6: pandas Readers and Writers -- Chapter 7: Date and Time -- Chapter 8: saspy Module -- Appendix A: Generating the Tickets DataFrame -- Appendix B: Many-to-Many Use Case

0

Text of Note

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 Youll 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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9781484250013

Title

Python for SAS Users : A SAS-Oriented Introduction to Python.

International Standard Book Number

9781484250006

SAS (Computer file)

SAS (Computer file)

Python (Computer program language)

Python (Computer program language)

COM051360

UMX

UMX

Number

Edition

Class number

Book number

Betancourt, Randy

Chen, Sarah

Date of Transaction

20200823032811.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y