Pinned Repositories
2024-arrow-format-tutorial
Repository for the Arrow Columnar Format Tutorial for PyCon DE 2024
advent_of_code
See https://adventofcode.com/
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
aRt
Making art with R
aRtist
Making art with R
ccli-reporting
distill_462
sdcLog
Tools for statistical disclosure control in research data centres
simfinapi
Makes 'SimFin' data (https://simfin.com/) easily accessible in R.
matthiasgomolka's Repositories
matthiasgomolka/simfinapi
Makes 'SimFin' data (https://simfin.com/) easily accessible in R.
matthiasgomolka/sdcLog
Tools for statistical disclosure control in research data centres
matthiasgomolka/2024-arrow-format-tutorial
Repository for the Arrow Columnar Format Tutorial for PyCon DE 2024
matthiasgomolka/advent_of_code
See https://adventofcode.com/
matthiasgomolka/arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
matthiasgomolka/aRt
Making art with R
matthiasgomolka/aRtist
Making art with R
matthiasgomolka/ccli-reporting
matthiasgomolka/distill_462
matthiasgomolka/drake
An R-focused pipeline toolkit for reproducibility and high-performance computing
matthiasgomolka/hp_lara
matthiasgomolka/Mailspring-Theme-Starter
A starting point for creating your own custom Mailspring themes!
matthiasgomolka/pytest-tips-and-tricks
Supporting material for the "pytest tips and tricks for a better testsuite" workshop at PyCon 2024
matthiasgomolka/targets
Function-oriented Make-like declarative workflows for R