✨ New major release for Modin 0.13.0!
This release includes significant upgrades to Modin's documentation 📖,support for pandas 1.4 🐼 , new algebra and partitioning layer APIs 💠, performance improvements ⏳+ bugfixes 🐞 . (1/n)
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Quick recap:
Modin is a drop-in replacement for pandas that lets you scale up to large datasets⚡ with just a single line of code change.
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Take your existing pandas scripts/notebooks, and boom!💥 Modin automatically distributes your data so that your pandas operations run in parallel under the hood ⏩⏩ , with considerable speedups even on a single machine!
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Some highlights from this release:
+ added support for the latest version of @pandas_dev 1.4.0, with extended support for dropna, read_csv_glob, and other pandas APIs
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+ major revamp to our docs, including a quick start + getting started tutorials, and developer guide. modin.readthedocs.io/en/late…
Jan 27, 2022 · 4:09 AM UTC
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+ new algebra and partitioning layer APIs, read more about our algebra in our paper: arxiv.org/pdf/2001.00888.pdf
and docs 📚 : modin.readthedocs.io/en/late…
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+ new benchmarks for groupby
+ enhancement to Modin on OmniSci
+ improvements to XGBoost integration
+ many more!
Check out release notes for details:
github.com/modin-project/mod…
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🔧 Try it out on your own:
pip install --upgrade modin[all]
🤝 Join slack to learn about and help shape new releases, get help with Modin, and engage with the contributors!
modin.org/slack.html