Using the NAG Library for Python with kdb+ and PyQ
25 Jun 2019
This paper provides detailed instructions on how to use the Numerical Algorithms Group (NAG) Library for Python with kdb+ and PyQ. The NAG Library contains more than 1,800 mathematical and statistical routines, and is accessible by numerous programming languages (including Python, C++, Java, Fortran, etc.).
A comparison of Python and q for data problem solving
8 May 2019
This article takes a simple, real-life problem and analyzes different solutions in Python and q. The problem leads us to discover nice areas of both programming languages, including vector operations, Einstein summation, adverbs and functional form of select statements. Each solution has lessons that deepen our IT knowledge, especially when we consider performance.
Web Scraping – A Kdb+ Use case
24 Jan 2019
By Abin Saju Web scraping is a method through which human readable content is extracted from a web page using an automated system. The system can be implemented using a bot/web crawler which traverses through domains or through a web browser which mimics human interaction with a page. There are many use cases for the
2018 most read blogs: Python, Machine Learning, Cloud and kdb+ Performance
19 Dec 2018
In 2018 the most-read blogs on kx.com were about kdb+ and Python, machine learning, cloud and kdb+ performance benchmarks. The expansion of the use of kdb+ and Kx technologies in new industries like space research, transportation tech and precision manufacturing was also chronicled in 2018 blogs.
Kx POC Blog Series: Edge Computing on a Low-Profile Device
11 Dec 2018
The Kx Proof of Concept (POC) team is based in Newry and offers assistance to clients who want to better understand how Kx can operate in their domain and sometimes on their data. It provides an opportunity to explore the many diverse use cases to which Kx technology can be applied. In this series of
Machine learning: Using embedPy to apply LASSO regression
23 Oct 2018
By Samantha Gallagher The use of kdb+ for machine learning in financial technology and other industries is expanding following the release by Kx of the powerful embedPy interface, which allows the kdb+ interpreter to manipulate Python objects, call Python functions, and load Python libraries. Now Python and kdb+ developers can fuse both technologies together,