Modin Project

You can also find us at our Builder's Zone booth throughout the day to chat about Modin and all things Open Source! 🛠️🔍

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

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

📣 This year's @SnowflakeDB #DataCloudSummit features #DevDay on June 6, open to all developers. Get ready for an exciting line of speakers from Andrew Ng (Founder @DeepLearningAI), Lukas Biewald (CEO/Co-founder @wandb ), and more! I'll be giving a Dev Day luminary

Learn how #oneAPI tools including the Intel Distribution of @modin_project, and @XGBoostProject optimizations from Intel are used to process data on freshwater supplies to determine whether or not the water is safe to drink: intel.ly/3QwcYWz

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: github.com/modin-project/… And the release notes: github.com/modin-project/…

Check out more details in the PR here: github.com/modin-project/…

💥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

Dmitry Chigarev at @IntelDevTools 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

If you're backed into a dark alley, facing a pack of ravenous NaN dogs, you'll want a sidekick like pandas dropna. Drop rows with n missing values using thresh=n. Drop entirely empty rows with how='all'. Learn more from @__mharrison__: ponder.io/professional-p… #pandas #Python

If you want to automatically parallelize your pandas code, you should check out open-source Modin: github.com/modin-project/… @modin_project uses the pandas API, so all you need to do is change "import pandas as pd" to "import modin.pandas as pd" #pandas #Python #opensource

.@IntelDevTools saw a workload speedup of 4X with @modin_project (the scalable drop-in replacement for pandas) compared to pandas! Read more from Intel here: intel.com/content/www/us… #python #pandas #datascience

@andradavulpee can this be done faster using @modin_project ?

The Python Dataframe Interchange Protocol is a quiet hero 🦸‍♀️. It makes it easy for libraries to accept many dataframes (Modin, Polars, Ibis, cuDF, Dask). Read our encomium: ponder.io/how-the-python… Thanks to Marco Gorelli & @ralfgommers for your work! #python #dataframes

Want to learn 🧠 about @PyTorch DataLoaders 🏗️ ? In this article, we: - Present some background on DataLoaders - Discuss how @modin_project can now do batch data loading through the new ModinDataLoader - Share benchmarks Check it out: ponder.io/modin-now-supp… #pytorch #python

Check out this new @_odsc blog post on scaling #pandas! hubs.la/Q01-QLhy0 Written by @ponderdata CEO @dorisjlee, it discuss the @modin_project + Ponder revolution where you can speed up / scale your pandas workflows with almost no changes to your scripts / notebooks.

Exciting gathering in Switzerland this weekend: The #Python DataFrame Summit! It's a chance for DF library maintainers (@jorisvdbossche @datapythonista Dea María Léon + more, incl. @maheshvash for @modin_project) to discuss roadmaps, etc. Thanks to @pandas_dev for organizing!

RT @ponderdata: Missed the pandas sessions at the last @pydata Global event? Catch up now! @rdurrani22's + @ahpondering's sessions on pand…

Modin's been downloaded 10 million times. Along the way, it's been incorporated into major projects by Intel, AWS, and Ponder. Learn more about Modin's growth story in this @intel post: hubs.ly/Q01X0SvS0 #pandas #python #datascience @IntelDevTools

MODIN HIT 10 MILLION DOWNLOADS! 🔥 pepy.tech/project/modin 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