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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

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 Software Dev Tools

Missed the pandas sessions at the last @pydata Global event? Catch up now! Rehan Durrani's + Alejandro Herrera's sessions on pandas parallelization / Modin Project: ponder.io/ponder-pydata-… Matt Harrison's session on testing pandas: youtube.com/watch?v=Kj1Wwp… #pandas #python

Exciting gathering in Switzerland this weekend: The #Python DataFrame Summit! It's a chance for DF library maintainers (Joris Van den Bossche Marc Garcia Dea María Léon + more, incl. Mahesh Vashishtha for Modin Project) to discuss roadmaps, etc. Thanks to pandas for organizing!

Check out this new Open Data Science blog post on scaling #pandas! hubs.la/Q01-QLhy0 Written by Ponder CEO Doris Lee, it discuss the Modin Project + Ponder revolution where you can speed up / scale your pandas workflows with almost no changes to your scripts / notebooks.

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

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 & Ralf Gommers for your work! #python #dataframes

.Software Dev Tools 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

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

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 Matt Harrison: ponder.io/professional-p… #pandas #Python

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

Lots of great stuff in the most recent Modin release (0.29.0), including two functions to make it easier to work w/ Dask 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/…

Learn how #oneAPI tools including the Intel Distribution of Modin Project, and XGBoost 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

📣 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 DeepLearning.AI), Lukas Biewald (CEO/Co-founder Weights & Biases ), and more! I'll be giving a Dev Day luminary

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