TRAINING

Introduction to kdb+/q

16h.

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

Trainers

Info

16h.

Location

Your premises / Our facilities at Parque Científico Universidad Carlos III de Madrid

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