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.



The Exploration of Solar Storm Data Using JupyterQ

7 Jun 2018 | , , , ,

At Kx25, the international kdb+ user group conference held on May 18th, I made a presentation that demonstrated how to use a JupyterQ notebook to perform analytics on solar storm data.
My experience working with solar storm data began last year when I was a visiting data scientist at the NASA Frontier Development Lab (FDL) in Mountain View, California. The FDL is hosted by the Search for Extraterrestrial Intelligence Institute (SETI): a not-for-profit research organization founded in 1984, whose purpose is to drive research in the space sciences. Within SETI, FDL is an applied artificial intelligence research accelerator established to maximize new AI technologies and apply them to challenges in the space sciences.

Kdb+ Transitive Comparisons

6 Jun 2018 | , ,

By Hugh Hyndman, Director, Industrial IoT Solutions. A direct comparison of the performance of kdb+ against InfluxData and, by transitivity, against Cassandra, ElasticSearch, MongoDB, and OpenTSDB