Name: Faster! GPU-Accelerated Data Science, Scalene, GraphRAG, and Clean Code talks
Start: 2024-08-27T18:30:00-07:00
End: 2024-08-27T20:30:00-07:00
Location: SAP Labs

**BayPIGgies... in-person at SAP Labs in Palo Alto!**

**IMPORTANT: SAP requires all registrations in advance - and will email you a confidentiality and security disclosure on Monday** \-\- so no last minute registrations \(after Sunday midnight\) will be honored\, and no walk\-ins will be allowed\.

*IMPORTANT: You must register by SUNDAY NIGHT at midnight PST!! Must bring government-issued ID.*

**Announcements:**

* **PyBay**: Buy tickets for PyBay! [https://pybay.org ](https://pybay.org)(Sept. 21, 2024)

**Schedule:**

* 6:30 Register and Refreshments
* 7:00 Welcome + Announcements
* 7:05 Lightning Talk: Clean Your Room!
* 7:10 Lightning Talk: Introduction to RAG and GraphRAG
* 7:20 Short Talk: Zero Code Change GPU-Accelerated Data Science in Python
* 7:50 Main Talk: Using scalene to keep your code fast enough

**\*\*\*\* Lightning talks \*\*\*\*\***
**"Clean Your Room!" presented by Jo Hjersman**
Data Scientists have a stigma for writing messy code and disorganized notebooks. This talk will share a few tips to keep your code and processes clean.

**Jo** is currently a data scientist at a small start up and frequently an instructional staff member for various data science and data engineering bootcamps.

**"Introduction to RAG and GraphRAG" presented by Nyah Macklin**
Where are the answers? Learn what Graph Retrieval-Augmented Generation (GraphRAG) is and why it's becoming a! popular extension to vanilla RAG systems.

**Nyah** is a Developer Advocate at Neo4j. Nyah cares deeply about the ethical use of data, data privacy & security, and ethical artificial intelligence. Nyah has a non-traditional background, with a degree in African & Afro-American Studies and a career in civil service and community organizing. This background gave them the expertise to decipher the ways systems within tech perpetuates the exclusion of historically underrepresented communities, and implement policies to counteract that fact.

**\*\*\*\* Short talk \*\*\*\*\***
**"Zero Code Change GPU-Accelerated Data Science in Python" presented by Manas Singh**

With datasets continuing to grow and project turnaround times shrinking, data scientists need high performance tools with easy adoption on-ramps to keep up with demands. RAPIDS, the open source suite of accelerated data science libraries and primitives, brings accelerated computing to the wider analytics world by combining the performance of NVIDIA GPUs with the ease of use of Python.

We’ll show how RAPIDS acceleration of Python workflows using pandas, NetworkX, and other core data science libraries with zero code change required. We’ll explain why GPUs are useful for more than deep learning, provide an overview of how these capabilities work, demonstrate the impact through live demos using Google Colab Notebooks. We'll also cover implementation details.

**Manas** is a Technical Product Manager at NVIDIA where his work focuses on building GPU accelerated python libraries for data practitioners called RAPIDS.

**\*\*\*\* Main talk \*\*\*\*\***
**"Using scalene to keep your code fast enough" presented by Oleksandr Pryimak**
Modern software hides a lot of complexity. It is next to impossible to judge which parts of your code are fast or slow without good instrumentation. Profilers permit a way to find and quantify bottlenecks in your code. We will share why and how we use scalene.
He will briefly touch on pytest benchmark and how they help to validate potential optimizations quickly.
In this talk an attendee will learn:
1\. How does a sampling profiler work?
2\. How can one use a profiler to identify a bottleneck?
3\. Using pytest benchmarks to validate potential performance improvements
He will include in the talk some surprising anecdotal findings from his personal profiling and benchmarking.

**Oleksandr** is currently working in Thumbtack (which he joined in January 2020). In 2022 he launched a new team in Thumbtack: Machine Learning infrastructure which he has led since then. His professional areas of interest: low latency and high performance applications, ML and developer tooling. Outside of work he enjoys visual astronomy and astrophotography. He is a big sci-fi fan.

***Important attendance note:*** *SAP requires everyone to sign a confidentiality and security disclosure to maintain confidentiality and adhere to SAP's physical security protocols during your visit to SAP's facility. This applies to all guests. All attendees must show a Government-issued ID, and sign the SAP Security form to enter the event.*

***Register by Sunday at Midnight!***

**Thank you, SAP Labs, for sponsoring and hosting this month's meeting!**

\-\-\-\-
**Personal Donations:** Please consider supporting future BayPiggies events and Python in the Bay Area at the link below via the Bay Area Python Association and the Python Software Foundation:
[https://psfmember.org/civicrm/contribute/transact/?reset=1&id=43](https://psfmember.org/civicrm/contribute/transact/?reset=1&id=43)

Karen Dalton

Chris Brousseau

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Faster! GPU-Accelerated Data Science, Scalene, GraphRAG, and Clean Code talks

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