Using and contributing to the data.table package for efficient big data analysis
13 mars 2025 @ 11 h 00 min –
Inria Montpellier, St-Priest Campus, Building 5, Room 02/022
Machine Learning in Montpellier, Theory & Practice
Toby Hocking
Data.table is one of the most efficient open-source in-memory data manipulation packages available today. First released to CRAN by Matt Dowle in 2006, it continues to grow in popularity, and now over 1500 other CRAN packages depend on data.table. This talk will start with data reading from CSV, discuss basic and advanced data manipulation topics, and finally will end with a discussion about how you can contribute to data.table.
https://github.com/tdhock/2023-10-LatinR-data.table?tab=readme-ov-file#source-files-for-latinr-datatable-tutorial-slides
LabéliséHallesIA
TBD
13 mars 2025 @ 14 h 00 min –
Online
Machine Learning in Montpellier, Theory & Practice
Session organised by IDESP.
Machine Learning in Montpellier, Theory & Practice
Using and contributing to the data.table package for efficient big data analysis
13 mars 2025 @ 14 h 00 min –
Room 02.022, Building 5, St Priest campus
Machine Learning in Montpellier, Theory & Practice
Data.table is one of the most efficient open-source in-memory data manipulation packages available today. First released to CRAN by Matt Dowle in 2006, it continues to grow in popularity, and now over 1500 other CRAN packages depend on data.table. This talk will start with data reading from CSV, discuss basic and advanced data manipulation topics, and finally will end with a discussion about how you can contribute to data.table. https://isdm.umontpellier.fr/github.com/tdhock/2023-10-LatinR-data.table?tab=readme-ov-file#source-files-for-latinr-datatable-tutorial-slides
Machine Learning in Montpellier, Theory & Practice