Dask is a flexible open source parallel computation framework that lets you comfortably scale up and scale out your analytics. If you’re running into memory issues, storage limitations, or CPU boundaries on a single machine when using Pandas, NumPy, or other computations with Python, Dask can help you scale up on all of the cores on a single machine, or scale out on all of the cores and memory acr

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scikit-feature: Open-Source Feature Selection Repository in Python scikit-feature is an open-source feature selection repository in python, with around 40 popular algorithms in feature selection research. It is developed by Data Mining and Machine Learning Lab at Arizona State University. By Jundong Li, ASU. scikit-feature is an open-source feature selection repository in Python developed at Arizo

I’m super excited to be involved in the new open source Apache Arrow community initiative. For Python (and R, too!), it will help enable Substantially improved data access speeds Closer to native performance Python extensions for big data systems like Apache Spark New in-memory analytics functionality for nested / JSON-like data There’s plenty of places you can learn more about Arrow, but this pos

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