In the past year, Kx has released embedPy, PyQ and a series of JupyterQ libraries. This is a significant development for the kdb+ user community because the Anaconda Python distribution platform, with over six million users, is the de facto source for Python software, used by a significant portion of data scientists and machine learning engineers. Through the Anaconda distribution platform, kdb+ becomes part of the Anaconda Python ecosystem, making it easier for Python developers building ML/AI applications to use kdb+. Its tiny footprint efficiently scales vertically and horizontally.Īnaconda is the most popular Python data science platform provider with 2.5 million downloads per month and over six million users. This partnership is an outgrowth of the expansion of kdb+ into machine learning applications. Its unified, elegant q language includes first-class tables, functions and time-series features. Kdb+ is the world’s fastest time-series database at the forefront of high-performance streaming, real-time and historical analytics. Kdb+ is now much more easily integrated into Python-based projects and technologists outside of the kdb+ community can now take advantage of the power of kdb+ without having to learn how to program in q. (Newry, Northern Ireland, 12 September 2018) Kx announces a partnership with Anaconda, Inc. to add the kdb+ database system, and related machine learning libraries, to Anaconda’s popular Python and R open source distribution platform.
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