June 2020
- 21: Extending .z.ts to execute multiple functions at different intervals (0)
- 16: Using the timer function .z.ts in q/kdb+ (0)
- 11: Enabling a modern hybrid cloud kdb+ stack with PubSub+ (0)
- 10: Publishing and Consuming messages from PubSub+ in a q/kdb+ stats process (0)
- 08: Bringing the power of pub/sub messaging to kdb+ (0)
October 2019
January 2019
- 06: What exactly are keyed tables? (0)
November 2018
- 29: Understanding type casting in q (0)
- 23: Datatypes in q (0)
- 16: Video: Installing q/kdb+ using conda (0)
October 2018
September 2018
August 2018
June 2018
May 2018
- 23: Installing kdb+, jupyterq and embedPy using conda! (10)
- 20: Kx celebrates 25 years of kdb (0)
- 16: My (awesome) experience at PyCon 2018 in Cleveland! (0)
April 2018
March 2018
- 19: Implementing Support Vector Machine (SVM) algorithm in python (1)
- 12: Implementing k-nearest neighbors in python (0)
- 07: Parsing command line arguments in python (0)
February 2018
January 2018
December 2017
- 28: 2017: Year in Review (0)
- 21: Implementing a Polynomial Regression Model in Python (0)
- 18: Analyzing NYC motor vehicle data in Spark (0)
- 10: Setting up Apache Spark on an AWS EC2 instance (0)
November 2017
- 22: Implementing a Multiple Linear Regression model in python (2)
- 12: q/kdb+ api for getting market and financial data from IEX (20)
- 02: Implementing Simple Linear Regression Model in Python (0)
October 2017
- 13: Feature scaling in python using scikit-learn (0)
- 03: Feature encoding in python using scikit-learn (0)
September 2017
August 2017
July 2017
April 2017
- 27: Book Review: Efficiently Inefficient by Lasse Heje Pedersen (1)
- 25: Understanding sets in python (2)
- 12: Book Review: The WSJ Complete Money and Investing Guidebook (0)
January 2017
December 2016
- 27: 2016: Year in Review (0)
November 2016
October 2016
- 29: A brief history of ECNs (0)
- 06: AquaQ launch event on Nov 17th (0)
- 01: Book Review: Dark Pools by Scott Patterson (2)
August 2016
June 2016
- 08: Getting started with regex in python (0)
- 05: Book Review: Flash Boys by Michael Lewis (0)
- 05: Everything I have learnt about trading oil through ETFs (1)
May 2016
April 2016
- 10: My experience at the QuantCon 2016 (0)
- 04: Book Review: The Quants (0)
- 02: Getting started with data science (0)
March 2016
December 2015
November 2015
October 2015
- 14: Listing alphabets and numbers using predefined variables (0)
- 08: My experience at The Trading Show – quant, automated trading and big data conference (1)
July 2015
June 2015
- 25: Challenge#4 What’s in a name? (6)
- 23: Analyzing NYC traffic data using q (0)
- 18: Analyzing NYC traffic data using Pandas (2)
- 15: When it comes to estimating effort, be pessimistic (0)
April 2015
- 30: Manipulating columns in a table (0)
- 24: C#3 Let’s capitalize on it (7)
- 21: Introducing data analysis with Python and Pandas (4)
- 07: Announcement – changes coming to the blog (0)
March 2015
- 04: Hidden arguments of functional select (1)
- 02: q chat client (0)
- 02: Challenge#2 Reverse words in a phrase (4)
February 2015
- 11: Using functional forms of amend (0)
- 05: Challenge#1 – Partial sort (4)
January 2015
- 30: Generating the fibonacci sequence (3)
- 23: Scan and Over – iterating through lists (0)
- 22: Functional queries (0)
- 15: OOP concepts in q (0)
- 14: qSQL queries for performing analytics (0)
- 14: Joins in kdb+ (0)
- 11: Moving data from one hdb to another (0)
- 10: How data is saved in a historical database (0)
- 09: Overview of kdb+ architecture (0)
- 08: Enumeration in kdb+ (0)
December 2014
- 19: Subscribing to a table in ticker plant (0)
- 16: Coding a sample feed handler (0)
- 15: Tables, keyed tables and dictionaries (0)
- 12: Using Attributes in kdb+ (1)