Blogs, Articles, Podcasts and Videos
KX, Partners and members of the public regularly post articles, blogs and videos relating to their usage of PyKX and how it can be used as part of solutions to real-world problems. The intention of this page is to centralize these blogs and articles and will be kept up to date regularly.
Blog posts and articles
|
Title |
Description |
Author |
Publication Date |
|
Levelling the playing field: how PyKX democratizes data analytics for firms of all sizes |
Explores how PyKX makes high-performance data analytics accessible to firms of all sizes by bridging Python and kdb+. |
Eoin Roche |
20 February, 2025 |
|
Eight ways PyKX is transforming Python integration and expanding access to kdb+ |
Highlights eight key ways PyKX enhances Python integration and broadens access to kdb+ analytics. |
Daniel Tovey |
6 February, 2025 |
|
Details the new features and improvements in PyKX 3.0, making it more user-friendly and powerful. |
Daniel Baker |
12 November, 2024 |
|
|
A guide on using PyKX for developing high-performance analytics, focusing on querying and transforming data. |
Daniel Baker |
8 October, 2024 |
|
|
Discusses the integration of Python and q, and how PyKX enhances these infrastructures. |
Conor McCarthy |
4 September, 2024 |
|
Contributing to PyKX |
Outlines how new developers can contribute to PyKX |
Oscar Nydza Nicpoñ |
10 April. 2024 |
Build and manage databases using PyKX |
A breakdown of how PyKX can be used to generate and maintain kdb+ databases using newly released functionality |
Conor McCarthy |
24January, 2024 |
|
Real-time data, SaaS, and the rise of Python – a prediction retrospective |
Reflects on past predictions about SaaS and real-time data, and the rise of Python in data analytics. |
Neil Kanungo |
19 December, 2023 |
PyKX highlights 2023 |
A breakdown of new features and functionality added from January 2023 to version 2.1.1 in October 2023. |
Rian Ó Cuinneagáin |
25 October, 2023 |
|
Discusses how PyKX accelerates the transition from research to production in Python-based projects. |
Daniel Baker |
21 September, 2023 |
|
All Roads lead to kdb: the technical counterpart |
An in-depth use-case outlining how a user can solve problems relating to traffic management using PyKX and kdb+/q |
Oscar Nydza Nicpoñ, Marcos Vázquez Martín |
15 September, 2023 |
| All roads lead to PyKX |
A fictional story outlining how a Python-first CTO could begin to see the power of q/kdb+ via PyKX |
Jesús López-González |
31 July, 2023 |
|
Describes methods to speed up Python workflows with PyKX. |
Daniel Baker |
28 June, 2023 |
|
|
Offers tips on optimizing Python code for better performance using PyKX. |
Daniel Baker |
27 June, 2023 |
|
PyKX boosts trade analytics |
An introduction to the fundamental features and functionality of PyKX |
Paul Douglas, Paul Walsh, and Thomas Smyth |
26 June, 2023 |
|
Explores how PyKX integrates Python with the high-speed capabilities of the kdb+ database, enhancing data science workflows. |
Daniel Baker |
14 June,2023 |
Press Releases
|
Title |
Description |
Publication Date |
|---|---|---|
|
KX supercharges Python workloads with kdb+ speed and AI/ML library integration |
PyKX 3.0 market announcement: KX launches PyKX 3.0, improving accessibility and performance for Python-first developers. |
12 Nov, 2024 |
|
KX brings the power and performance of kdb+ to Python developers with PyKX |
Market announcement of PyKX being made open source. |
7 June, 2023 |
Videos
A first look at PyKX 3.0
Join Conor McCarthy (VP of Data Science) and Ryan Siegler (Developer Advocate) cover the new features and functionality released in PyKX 3.0.
How PyKX expands access to KX Products
Conor McCarthy discusses how organizations can use PyKX to increase access to kdb+ data and analytics for Python developers, while helping them generate data and create databases.
Using PyKX to bring the power of kdb+ to Python
Conor McCarthy Introduces how PyKX can be used to generate data, run analytics and create databases.
Accelerating application development with PyKX
Jack Kiernan outlines the fundamentals of PyKX.
Accelerating Python workflows using PyKX in kdb
Nathan Crone and Andrew Morrison outline the basic building blocks of PyKX and how using q with PyKX allows users to accelerate analytic development in Finance.
High performance, real-time event processing with PyKX
Mohammad Noor and Oliver Stewart outline how Citadel make use of PyKX to accelerate real-time event processing using kdb+ and reducing the barrier for entry to those unfamiliar with q/kdb+.
Podcasts