Gregor Kappler

Gregor Kappler carries out psychometric research and data science consulting, and is founder of FilingForest, a julia-focused startup developing solutions for fast unbiased measurement in graph data.

Gregor was initially trained as a mathematician and psychologist, has implemented solutions for semantic text analytics for his PhD in 2007, and developed psychometric models for measuring with texts.
He has worked as a lecturer and researcher at the University of Vienna and the University of Jena and worked on a series of predictive analytic projects for software vendors and customers.

Gregor has switched to Julia from R in 2018, and is creator of the CombinedParsers package which provides parser combinators for fast, recursive and type-save parsing in pure Julia.

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Sessions

3min
Theory is (nearly) implementation with julia types
Gregor Kappler

Data paradigms are metaphors we think with.
This talk describes how julia re-united a psychometrician's probability theoretical and technical thinking in "data".

I have thought in terms of
boxes, registers and memory adresses,
value bundles with C structures and Pascal records,
objects with inheritance in C++ and java,
vectors and data frames in R.
All useful but oblique.

Finally julia types liberated from tediously translating theory to implemetation.
More clarity, less mistakes.

07-25
14:00
180min
Parse and broker (log) messages with CombinedParsers(.EBNF)
Gregor Kappler

Parsers are programs to break apart strings that match a grammar
in order to transform into structured representations.
I demonstrate composing regular expressions, EBNF grammars and CombinedParsers.jl constructors to build a slick message broker system inspired by Apache Kafka:
Log lines and other messages are parsed to julia types.
Parsed instances are brokered by julia's multiple dispatch into different data sinks (git managed CSV, SearchLight.jl).

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