This course provides an introduction to the kdb+/q technology, with an emphasis on the supported programming paradigms: functional programming, array processing, and event-driven.

AUDIENCE

• Python programmers willing to gain insight into the offerings of KX kdb+/q
• No prior knowledge of kdb+/q is assumed

METHODOLOGY

• The course is structured around selected exercises sourced from existing collections such as: the APL problem solving competition, project Eurler, Rosetta Code, etc.
• The sessions will involve live coding practices using Jupyter notebooks.

COURSE OUTLINE (16 hours)

MODULE 1. Atomic functions 

• Q datatypes: atoms and lists
• Atomic functions
• Application values
• Conditional evaluation

MODULE 2. Iterators

• Iterators vs. atomic functions
• Map iterators
• Accumulators
• Combining iterators

MODULE 3. Tables

• Dictionaries
• Tables
• qsql & functional forms
• Equijoins & as-of joins

MODULE 4. Kdb+

• Basic File IO
• Persistence: Splayed & Partitioned
• Interprocess Communication
• Python Integration