SAS Tutorial | Using SAS in Python Applications With SASPy and Open Source Tools
24.5 هزار بار بازدید -
4 سال پیش
-
Some background: SASPy is a
Some background: SASPy is a module developed by SAS Institute for the Python programming language, providing an alternative interface to the SAS system. With SASPy, SAS procedures can be executed in Python scripts using Python syntax, and data can be transferred between SAS datasets and their Python DataFrame equivalent. This allows SAS programmers to take advantage of the flexibility of Python for flow control, and Python programmers can incorporate SAS analytics into their scripts and applications. This tutorial walks through examples of common data-analysis tasks, emphasizing the value of being a polyglot programmer fluent in multiple languages. No prior experience with Python is assumed.
Before watching this video, you're highly encouraged to visit https://github.com/saspy-bffs/sgf-202... and work through the setup instructions for following along with the examples in this tutorial.
Session ID: 5320
Presenters: Isaiah Lankham, Office of the President, University of California and Matthew Slaughter, Kaiser Permanente
Topic: Programming
Industry: Non-Industry Specific
Audience: Analyst, Data Scientist, Programmer
Level: Intermediate
Content Outline
0:00:00 – Welcome
0:04:24 – Python Code Conventions and Data Structures
0:26:33 – Section 2: SASPy Data Round Trip
0:47:50 – Executing SAS Procedures with Convenience Methods
1:00:54 – Staying D.R.Y. (“Don’t Repeat Yourself”)
1:10:07 – Call to Action!
Additional Resources
GitHub – https://github.com/saspy-bffs/sgf-202...
Learn more about SAS Software
Free SAS Online Training – https://www.sas.com/en_us/training/of...
Contact SAS® – https://www.sas.com/en_us/contact.geo...
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF
https://www.youtube.com/SASUsers?sub_...
ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
CONNECT WITH SAS
SAS ► https://www.sas.com/contact
SAS Customer Support ► https://support.sas.com
SAS Communities ► https://communities.sas.com
SAS Analytics Explorers ► https://explorers.sas.com
Facebook ► Facebook: SASsoftware
Twitter ► Twitter: SASsoftware
LinkedIn ► LinkedIn: sas
Blogs ► https://blogs.sas.com
RSS ►https://www.sas.com/rss
Before watching this video, you're highly encouraged to visit https://github.com/saspy-bffs/sgf-202... and work through the setup instructions for following along with the examples in this tutorial.
Session ID: 5320
Presenters: Isaiah Lankham, Office of the President, University of California and Matthew Slaughter, Kaiser Permanente
Topic: Programming
Industry: Non-Industry Specific
Audience: Analyst, Data Scientist, Programmer
Level: Intermediate
Content Outline
0:00:00 – Welcome
0:04:24 – Python Code Conventions and Data Structures
0:26:33 – Section 2: SASPy Data Round Trip
0:47:50 – Executing SAS Procedures with Convenience Methods
1:00:54 – Staying D.R.Y. (“Don’t Repeat Yourself”)
1:10:07 – Call to Action!
Additional Resources
GitHub – https://github.com/saspy-bffs/sgf-202...
Learn more about SAS Software
Free SAS Online Training – https://www.sas.com/en_us/training/of...
Contact SAS® – https://www.sas.com/en_us/contact.geo...
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF
https://www.youtube.com/SASUsers?sub_...
ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
CONNECT WITH SAS
SAS ► https://www.sas.com/contact
SAS Customer Support ► https://support.sas.com
SAS Communities ► https://communities.sas.com
SAS Analytics Explorers ► https://explorers.sas.com
Facebook ► Facebook: SASsoftware
Twitter ► Twitter: SASsoftware
LinkedIn ► LinkedIn: sas
Blogs ► https://blogs.sas.com
RSS ►https://www.sas.com/rss
4 سال پیش
در تاریخ 1399/02/30 منتشر شده
است.
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