Matt Dowle, H2O.ai - data.table for R and Python -
This session was recorded in NYC on October 22nd, 2019.
data.table for R and Python
data.table provides a high-performance version of R’s data.frame with syntax and feature enhancements for ease of use, convenience and programming speed. A particular focus is ordered queries which are inconvenient or slow in SQL. H2O has ported datatable to Python. Matt will summarize recent work and benchmarks: https://h2oai.github.io/db-benchmark/.
Bio: Matt Dowle is the main author of the data.table package in R. He has worked for some of the world’s largest financial organizations: Lehman Brothers, Salomon Brothers, Citigroup, Concordia Advisors and Winton Capital. He is particularly pleased that data.table is also used outside Finance, for example Genomics where large and ordered datasets are also researched. Matt has been programming in S/R for 15 years, knows C pretty well and holds a first class BSc in Applied Maths and Computing from Warwick University, U.K.