kdb+ and Python

Kdb+ and Python: embedPy and PyQ

15 Nov 2017 | , , , ,
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By Andrew Wilson and James Hanna

In September, Kx announced a range of initiatives to put machine learning (ML) capabilities at the heart of future technology development. The first library to be released as part of this initiative is embedPy, which exposes powerful Python functionality to q developers.

EmbedPy loads Python into kdb+, so Python variables and objects become q variables, and either language can act upon them. Python code and files can be embedded within q code, and Python functions can be called as q functions.

The library is currently released in a beta version available on code.kx.com here.  It will be enhanced and fully released over the coming weeks, so keep checking back for the latest changes.

EmbedPy is the mirror image of PyQ, a set of software components that simplify the running of a Python interpreter alongside a kdb+ server. Developed by Alexander Belopolsky of Enlightenment Research, PyQ covers all Python libraries, with a primary focus on numerical libraries such as NumPy and SciPy.

PyQ functions as an extension to kdb+ and features zero-copy sharing of data between Python and the q programming language. Python functions can be called from q, and q functions can be called from Python. For Python programmers, PyQ gives direct access to data in kdb+ without the need to program in q. For q programmers, PyQ offers easy access to the numerous computational and visualization libraries available for Python.

Kx has acquired the rights to PyQ and it is now available here. In line with Kx’s other Fusion for kdb+ interfaces, it is released under the Apache 2 open source license free of charge, and the code is available here.

© 2017 Kx Systems
Kx® and kdb+ are registered trademarks of Kx Systems, Inc., a subsidiary of First Derivatives plc.


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13 Dec 2017 | , , , ,

In December we are re-blogging some of our favorite content from Kx partners and affiliated companies, starting with this article on the ChartIQ blog. ChartIQ is an agile FinTech company that sells an advanced HTML5 charting library used in technical data analysis, trading configurations and for charting in the capital markets industry. Kx offers a ChartIQ integration as an addition to our Dashboards. In Collaboration: The Dominant Trend in Finance, ChartIQ’s Hanni Chehak writes about the rise of FinTech companies, and the role collaboration plays as FinTech companies are increasingly disrupting the traditional banking sector.

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Kdb+ is being used much more widely in machine learning applications today. Its ability to quickly ingest and process data, particularly large, fragmented datasets, is one way that developers are adding kdb+ to their technology stack of artificial intelligence and machine learning tools.
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kdb+ FFI

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Following on from the hugely popular Python library and interface embedPy and PyQ, Kx has released an FFI as part of the Fusion for kdb+ interfaces. As with embedPy and PyQ, this FFI is open-sourced under the Apache 2 license.
The kdb+ FFI is a foreign function interface library for loading and calling dynamic libraries from q code. It has been adapted and expanded upon from a library originally written by Alex Belopolsky of Enlightenment Research. With the kdb+ FFI you can now call your favorite C/C++ libraries directly from q without the overhead of having to compile shared objects and load into q using the 2: command.