Oct 23, 2023
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We are excited to announce Snowflake’s intent to acquire Ponder to bring Ponder’s Python data science innovations to its customers and to accelerate the growth of the Modin community....
Oct 23, 2023 Snowflake has announced its intent to acquire Ponder.
Read more from Ponder hereOct 23, 2023
We are excited to announce Snowflake’s intent to acquire Ponder to bring Ponder’s Python data science innovations to its customers and to accelerate the growth of the Modin community....
Aug 24, 2023
In this article, we discuss how Modin -- the open-source scalable drop-in replacement for pandas -- now implements a version of the PyTorch DataLoader that supports batch loading as well, making it much, much faster to use PyTorch as a Modin user....
Aug 3, 2023
We are thrilled to announce Ponder's public beta of BigQuery support. You can now harness the capabilities of BigQuery directly within your pandas workflows, eliminating the need for data movement, so that you can enjoy the scalability and governance provided by an enterprise-grade data warehouse. B...
Jul 7, 2023
George Coyne, Director of Sales Engineering at Prefect, will present a demo of Prefect with pandas / Ponder....
May 26, 2023
Matt Harrison (Python expert, author of "Effective Pandas," and Ponder Advisor) will present a pandas demo for finance using Ponder....
May 25, 2023
Ponder lets you run your Python data workflows (pandas, NumPy) directly in your data warehouse or database, and as of today, anyone can try Ponder for free. Get started in less than 5 minutes....
May 3, 2023
Announcing Ponder on DuckDB! Ponder lets you run your data science workflows directly in your database. Now, with Ponder, you can speed up your pandas code by using our pandas API for DuckDB....
Mar 18, 2023
Ziwei Ye (Machine Learning Engineer at Spotify) will give a brief presentation on how Spotify uses Modin and Ray to scale its pandas workflows....
Mar 16, 2023
Modin version 0.19 is now available! The release includes many improvements, but the most important is initial support for NumPy!...
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