SAS Bowl XIV, SASPy
NEW this time: Please REGISTER and JOIN the Teams meeting to participate.
SAS Bowl XIV, SASPy is scheduled for Thursday, November 11, 2021, at 4 PM ET.
More on SASPy
SASPy is the key that allows Python developers (who may or may not code in SAS) access to SAS data and analytics capabilities, without having to code in SAS.
Key features of SASPy include:
• generate SAS code supplied Python objects and methods
• convert data between SAS data sets and Pandas data frames
• interface with Jupyter notebooks or interactive and batch Python
To get started with SASPy, visit its home on sassoftware's GitHub page. The repository contains full documentation, usage notes, and many examples.
Resources
Besides the GitHub repository linked above, here are additional, valuable resources to consider (we'll be creating questions from these!).
- Introducing SASPy: Use Python code to access SAS - It all got kicked off during this Tech Talk at SGF, featuring SAS rockstarts @ChrisHemedinger and @Jared ; could honestly watch these guys discuss the viscosity of slug slime
- How Do I Use SASPy to Interface with SAS® From My Python Code? - SAS Webinar from @sastpw with a great demo of the SASPy tool
- Installing SASPy Kernel for Jupyter Notebooks and Jupyter Lab - library article by @OliviaWright on setting SASPy up on a Jupyter Noteboook
- Putting Airbnb Under the Microscope with SASPy and SAS - insteresting SASPy use case featured in a Free Data Friday (sound familiar?) library article by @ChrisBrooks
- SASPy for Modeling - Hands on SAS User blog post by @SophiaRowland demonstrating some powerful SASPy capabilities
SAS Bowl and event details
For those who may be new to the SAS Bowl, you can find game history and specifics in this Community memo. There you'll also find links to previous events, which include recordings.
On game day, Join the TEAMS meeting to play and show off your SAS and worldly knowledge while competing for bragging rights and SAS Community game gear.
'See' you on November 11!
