Modin Project
@modin_project
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Speed up your pandas workflows by changing a single line of code ⚡
Joined December 2021
You can also find us at our Builder's Zone booth throughout the day to chat about Modin and all things Open Source! 🛠️🔍.
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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
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Attending #SnowflakeSummit? ❄️ Visit our booth at Builder's Hub to explore Modin, speak with Modin OSS contributors, and check out cool demos! 👋 See you there! .#python #datascience #machinelearning
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RT @dorisjlee: 📣 This year's @SnowflakeDB #DataCloudSummit features #DevDay on June 6, open to all developers. Get ready for an exciting li….
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RT @IntelDevTools: Learn how #oneAPI tools including the Intel Distribution of @modin_project, and @XGBoostProject optimizations from Intel….
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Lots of great stuff in the most recent Modin release (0.29.0), including two functions to make it easier to work w/ @dask_dev dataframes: to_dask, and from_dask. Check out the to_dask / from_dask code: And the release notes:
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💥Performance Improvement for .merge in Modin!💥. The result? H2O benchmark (500 MB) total execution dropped by 70% (28.64s -> 8.78s). What changed?.Before: Gather the right df into one partition.After: Repartition so we can broadcast only row partitions of the right df
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Dmitry Chigarev at @IntelDevTools wrote a post about Modin: 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
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RT @ponderdata: If you're backed into a dark alley, facing a pack of ravenous NaN dogs, you'll want a sidekick like pandas dropna. Drop ro….
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RT @ponderdata: If you want to automatically parallelize your pandas code, you should check out open-source Modin: .
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RT @ponderdata: .@IntelDevTools saw a workload speedup of 4X with @modin_project (the scalable drop-in replacement for pandas) compared to….
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RT @ponderdata: The Python Dataframe Interchange Protocol is a quiet hero 🦸♀️. It makes it easy for libraries to accept many dataframes (….
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RT @ponderdata: Want to learn 🧠 about @PyTorch DataLoaders 🏗️ ?. In this article, we:.- Present some background on DataLoaders.- Discuss ho….
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RT @ponderdata: Check out this new @_odsc blog post on scaling #pandas! Written by @ponderdata CEO @dorisjlee, it….
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RT @ponderdata: Exciting gathering in Switzerland this weekend: The #Python DataFrame Summit!. It's a chance for DF library maintainers (@j….
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RT @ponderdata: Missed the pandas sessions at the last @pydata Global event? Catch up now!. @rdurrani22's + @ahpondering's sessions on pand….
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RT @ponderdata: Modin's been downloaded 10 million times. Along the way, it's been incorporated into major projects by Intel, AWS, and Pon….
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MODIN HIT 10 MILLION DOWNLOADS! 🔥. That's lots of "import modin.pandas as pd," lots of large dataframes processed, lots of time saved -- time NOT spent laboriously parallelizing code. Congratulations, and thanks, to all!. #python #pandas #datascience
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