東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Python for SAS users = a SAS-oriente...

Betancourt, Randy.

Linked to FindBook

Google Book

Amazon

博客來

Python for SAS users = a SAS-oriented introduction to Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python for SAS users/ by Randy Betancourt, Sarah Chen.
Reminder of title:	a SAS-oriented introduction to Python /
Author:	Betancourt, Randy.
other author:	Chen, Sarah.
Published:	Berkeley, CA :Apress : : 2019.,
Description:	xvii, 434 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language) -
Online resource:	https://doi.org/10.1007/978-1-4842-5001-3
ISBN:	9781484250013

Python for SAS users = a SAS-oriented introduction to Python /
Betancourt, Randy.

Python for SAS usersa SAS-oriented introduction to Python /[electronic resource] :by Randy Betancourt, Sarah Chen. - Berkeley, CA :Apress :2019. - xvii, 434 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484250013

Standard No.: 10.1007/978-1-4842-5001-3doiSubjects--Uniform Titles:

SAS (Computer file)
Subjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.S27 / B48 2019

Dewey Class. No.: 005.133

Python for SAS users = a SAS-oriented introduction to Python /
LDR:02975nmm a2200325 a 4500 001 2243313
003 DE-He213
005 20200703101302.0
006 m d
007 cr nn 008maaau
008 211207s2019 cau s 0 eng d
020 $a 9781484250013 $q (electronic bk.)
020 $a 9781484250006 $q (paper)
024 7 $a 10.1007/978-1-4842-5001-3 $2 doi
035 $a 978-1-4842-5001-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.S27 $b B48 2019
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.S27 $b B562 2019
100 1 $a Betancourt, Randy. $3 3503287
245 1 0 $a Python for SAS users $h [electronic resource] : $b a SAS-oriented introduction to Python / $c by Randy Betancourt, Sarah Chen.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xvii, 434 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
630 0 0 $a SAS (Computer file) $3 532522
650 0 $a Python (Computer program language) $3 729789
650 1 4 $a Python. $3 3201289
700 1 $a Chen, Sarah. $3 3503288
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-5001-3
950 $a Professional and Applied Computing (SpringerNature-12059)