Steve Haroz
Estación R¿Y le contaste a tu tía sobre el Software libre y el Código abierto?
¿Le mostraste ese último script en R que te quedo tan FUA QUE PROGRAMADORA?
SALE MEME de la semana que desde Estación R creemos mejor representa a nuestra comunidad:
coolbutuseless{yyjsonr} is now on CRAN!
A package for fast reading *and* writing of JSON - up to 10x faster than {jsonlite}
Upcoming features:
* fast NDJSON support
* fast GeoJSON support
Find attached my new celebratory #RStatsMeme created for this event :)
CRAN: https://cran.r-project.org/package=yyjsonr
docs: https://coolbutuseless.github.io/package/yyjsonr/index.html
github: https://github.com/coolbutuseless/yyjsonr
yyjson lib: https://github.com/ibireme/yyjson
yyjsonr: Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator
A fast 'JSON' parser, generator and validator which converts 'JSON', 'NDJSON' (Newline Delimited 'JSON') and 'GeoJSON' (Geographic 'JSON') data to/from R objects. The standard R data types are supported (e.g. logical, numeric, integer) with configurable handling of NULL and NA values. Data frames, atomic vectors and lists are all supported as data containers translated to/from 'JSON'. 'GeoJSON' data is read in as 'simple features' objects. This implementation wraps the 'yyjson' 'C' library which is available from <<a href="https://github.com/ibireme/yyjson" target="_top">https://github.com/ibireme/yyjson</a>>.