Explore the limitations of pandas and NumPy and pain points that data scientists encounter when working with data at scale in this session with Doris Lee. Last chance–last tickets: hubs.li/Q025r1_s0

We’re excited to announce Snowflake's intent to acquire Ponder to bring Ponder's Python data science innovations to all its customers. Thank you to all of the Ponder and Modin supporters who brought us to this point -- We're excited for what's to come! ponder.io/snowflake-to-a…

Congratulations to the UC Berkeley dream team behind Ponder ✨✨✨ Prof. Aditya Parameswaran, Doris Lee (PhD '21), & Devin Petersohn (Berkeley Engineering)! The company was acquired by SnowflakeDB. #BerkeleyInnovates #DataScience

.SnowflakeDB acquires Ponder Congrats Doris Lee, Aditya Parameswaran, Devin & team—very happy for y'all & the Modin community! The House Fund is happy to have been part of this adventure #GoBears

Congrats Doris Lee ,Aditya Parameswaran, & Devin! It's been a privilege working with y'all since Day 1 via The House Fund. Excited to see Ponder rolled out to Snowflake customers.

Proud to be part of The House Fund family. Awesome to see them commit to Berkeley with an expanded team & new $115M Fund!

Dmitry Chigarev at Software Dev Tools wrote a post about Modin: dchigarev.github.io/modin_perf_exa… He takes a 4-minute pandas workload & says: "Modin could be a solution here, offering a drop-in replacement for Pandas and efficient parallel implementations of its API." With Modin? 55 seconds

Come find us at our Modin booth in Builder's Hub! 👋 #SnowflakeSummit

Join us this afternoon to learn how you can build an open-source AI stack with Modin, Streamlit, #Arctic to power your LLM App! 🧑‍💻💡 🗓️ Thursday, June 6 ⏰ 2:30 PM - 2:50 PM PDT 📍 Builders Hub Theater (Basecamp, South) #SnowflakeSummit #OpenSource #AI #LLM

End to end data engineering in Snowflake just got easier! Between Snowpark Python, Snowpark Pandas, Notebooks and Git Integration, pick your favorite and build a production-ready data pipeline, all in Snowflake! ⚡End-to-end data engineering with Snowpark Pandas: