Technical articles
A selection of technical articles of interest to kdb+ developers
Machine learning
- Kdb+ and Python
- A comparison of Python and q for data analysis
- Natural Language Processing
- A comparison of Python and q for handling lists
- Feature extraction and selection in kdb+
- Using q in Machine Learning with neural-network and clustering examples
- Neural networks in kdb+
- Using embedPy to apply LASSO regression
- Machine-Learning techniques featured in JupyterQ notebooks
- Decision trees
Performance
Programming in q
- Monte-Carlo methods with kdb+, by Arman Tadjrishi new
- Tables with calculated columns, by Stevan Apter, Vector 25:1
- Treetable: a case-study in q, by Stevan Apter, Vector 24:4
- Parsing data in kdb+, by Rian O’Cuinneagain
- Server-as-a-Function: Providing RESTful JSON APIs in q, by Rob Moore
- Deferred response, by Gopala Bhat
- qSQL vs standard SQL queries, by Ryan Hamilton
- Scripting with q, by David Crossey
- Thoughts on tables in kdb+, by Paul Kerrigan
Applications and case studies
- Data visualization with kdb+ using ODBC: A Tableau case study
- Kx 1.1 billion taxi ride benchmark highlights advantages of kdb+ architecture
- Kdb+ integral to BitMEX Bitcoin derivatives exchange growth strategy
- Combining high-frequency cryptocurrency venue data using kdb+
- Template of Fortnite gamer visualizations using Dashboards
- Kx for Love!!
- Storing and exploring the Bitcoin blockchain
- eFX: Data and analytics are the next arms race
- Kx for IoT: Industry 4.0 manufacturing
- IIoT for predictive maintenance and Big Data
- Quantile Technologies
- MIT Motorsports’ kdb+ Vehicle Telemetry System
- Consolidated audit trail go-live is now a certainty
- Signal processing with kdb+
- Kx fueling IoT revolution with manufacturing win
- Overview of kdb+tick
- Web scraping
- The exploration of space weather at NASA FDL
- Edge computing on a low-profile device