Fastest Python q converter

21 Jan 2015 | , , , ,
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Last night Alexander Belopolsky, an expert kdb+ programmer and Python developer, gave a presentation to the PyData NYC Meetup on exploring kdb+ in Python notebooks. Other than the folks from Kx, there was one person out of 150 who had worked with kdb+!
Alex showed his PyQ API, the “world’s fastest Python and NumPy converter.” Based on the audience reaction, he may have made some converts to kdb+.

To see his slides go to his blog.


cryptocurrency microstructure with kdb+

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By Eduard Silantyev   Eduard Silantyev is an electronic trading systems developer and a cryptocurrency market microstructure specialist based in London. Follow Eduard on LinkedIn or Medium to read more of his blogs about cryptocurrencies. The original title of this blog is “Cryptocurrency Market Microstructure Data Collection Using CryptoFeed, Arctic, kdb+ and AWS EC2 | Handling […]

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Signal processing with kdb+

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In the latest in our ongoing series of kdb+ technical white papers published on the Kx Developer’s site, Kx engineer Callum Biggs examines how kdb+/q can be used instead of popular software-based signal processing solutions. Signal processing is used for analyzing observable events, such as IoT sensor data, sounds, images and other types of pulses […]

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Guest blogger Ferenc Bodon illustrates using Python, SQL and kdb+ for data analytics in this blog. He takes an example that goes just one step beyond the simplest use cases by performing some aggregation based on multiple columns. Anybody who analyzes data tables will bump into this type of problem, probably on the third day.