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Toby Dylan Hocking edited this page Jul 10, 2025 · 254 revisions

Future talks


Past talks

2025.06.27: Toby Hocking, Time and memory efficient R programming, French slides for R Ladies Paris online meetup, video.

2025.06.24: What makes R strong - Atelier Global Actuarial Conference, Zurich, Switzerland - by Jan Gorecki, slides.

2025.05.19: Toby Hocking, French slides for data.table tutorial at Recontres R, Mons, Belgium, data.table pour la traitement efficace des grands jeux de données.

2025.05.15: Toby Hocking, Using and contributing to the data.table package for efficient big data analysis, for Bernd Bischl's lab meeting at LMU in Munich, slides.

2025.05.08: Toby Hocking, Using and contributing to the data.table package for efficient big data analysis, for Zurich Applied Statistics seminar, announcement, slides.

2025.03: Toby Hocking, Short talk about data.table for Julie Josse lab in Montpellier, slides

2025.02: Toby Hocking, Madrid R User Group, Video.

2024.12: Toby Hocking, PyData Global, Dec 2024, Video.

2024.11.07: R package dependencies in production - III Congress & XIV R User Conference, Sevilla, Spain - by Jan Gorecki, slides.

2024.10.15: Doris Afriyie Amoakohene, Performance Testing and Comparative Benchmarking for data.table, "Women in Statistics and Data Science conference 2024" Presentation Speed Talk and Poster Presentation

2024.08.06: "Creating a self-sustaining ecosystem for data.table" by Ani, JSM 2024 (Portland, Oregon), Slides

2024.08.06: Tyson S. Barrett, "Efficient Tools for Your Tidy Workflow: A case for incorporating data.table", JSM 2024 in Portland, OR slides

2024.07.11: Doris Afriyie Amoakohene, Performance Testing and Comparative Benchmarking for data.table, useR! 2024 online presentation video, useR! 2024 presentation in Salzburg, Austria slides

2024.07.09: Tyson S. Barrett, "The Past, Present, and Future of data.table", useR! 2024 presentation in Salzburg, Austria slides

2024.05.18: Tyson S. Barrett, "data.table: New Developments", R Finance 2024 presentation in Chicago slides

2024.03.28: Toby Dylan Hocking, R Project in Google Summer of Code, virtual talk for Chicago R User Group, slides.

2024.03.05: "GitHub Actions: Automated performance regression testing on pull requests" by Ani, NAU SICCS (Flagstaff, AZ), Slides

2024.02.29: David Shilane, R Programming: Introduction to data.table, course at Conference on Statistical Practice (CSP2024), slides and practice exercises

2024.02.08: intro to data.table at SevillaR: High productivity data frame operations with data.table, by Jan Gorecki, slides, video.

2024.01.26: Rolling statistics - Edinburgh R user group meeting, Edinburgh, United Kingdom, by Jan Gorecki, slides

2023.10.18: Using and contributing to the data.table package for efficient big data analysis - LatinR meeting, Montevideo, Uruguay.

2020.04: Manejo eficiente de grandes volúmenes de datos usando el paquete data.table en R - Nestor Montano,
Diapositivas
Youtube Playlist
Facebook Playlist

2020.04: Data wrangling and cleaning with data.table - Grant McDermott, Big Data in Economics (UOregon)
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2020.02.01: Machine Learning and Data Munging in H2O Driverless AI with (python) datatable - Parul Pandey, Hyderabad AI & DL meetup
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2020.01.30: List-columns in data.table - Tyson Barrett, rstudio::conf(2020L)
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2019.12.26: Efficiency in data processing. data.table basics - Jan Gorecki, R@IISA 2019
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2019.10 : data.table for R and Python, Matt Dowle, H2OWorld New York
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2019.10 : Why I love data.table, Chris Mainey, Warwick R User Group
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2019.09 : Introduction to data.table, Jan Gorecki, whyR? Warsaw
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2019.07 : Not So Standard Deviations; 84 - All The Easy Issues, Hilary Parker and Roger Peng
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2019.07 : How to use .SD in the data.table package, Sharon Machlis, IDG TECHtalk
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2019.07 : Summary of developments in R's data.table package, Arun Srinivasan, useR! Toulouse
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2019.07 : Bayesian analysis with Stan & Data manipulation with data.table, Jared Kai Swan, Los Angeles East

2019.07 : Start using data.table, Megan Stodel, Ministry of Justice Coffee and Coding
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2019.07 : Wrangling 4.6M rows of Financial Data (Home Loans Time Series) in R with data.table, Matt Dancho, Business Science Learning Lab
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2019.07 : data.table: a slide deck of data.table piping Gina Reynolds, slides

2019.06 : why data.table?, Jan Gorecki, Poznan R User Group
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2019.05 : Machine Learning and Data Munging in H2O Driverless AI with datatable, Pasha Stetsenko & Oleksiy Kononenko, H2O Meetup Mountain View
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2019.05 : Workshop: Getting Started in R and data.table - Saghir Bashir, ilustat.com
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2019.04 : Pipes or Brackets: dplyr and data.table, Jeremy Guinta & Amy Linehan, satRday LA
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2019.02 : Machine Learning and Data Munging in H2O Driverless AI with datatable, Pasha Stetsenko & Oleksiy Kononenko, H2O World San Francisco
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2019.01 : Introduction to Automatic and Scalable Machine Learning with H2O and R (afternoon session data.table), Dmytro Perepolkin and Raoul Wolf, University of Oslo Library

2018.12 : Workshop: Getting Started in R and data.table, Saghir Bashir, Data Science Unplugged Lisbon
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2018.10 : data.table for R, Python and updated-daily benchmarks, Matt Dowle, H2OWorld London
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2018.09 : Life in the Fast Lane: data.table Intro and Best Practices, Bill Gold, New York OSPM
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2018.09 : ALTREP from a data.table perspective, Matt Dowle, DSC Stanford
I talked ad-lib and showed code on screen; no slides.
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2018.09 : Tutorial: efficient data manipulation with data.table, Jaap Walhout, uRos The Hague
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2018.08 : Success with OpenMP in R package data.table, Matt Dowle, JSM Vancouver
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2018.07 : 12 years of data.table (past, present and future), Arun Srinivasan, R in Montreal
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2018.07 : What's new in data.table, Jan Gorecki, WhyR Wroclaw
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2018.06 : Data munging in driverless.ai with datatable, Pasha Stetsenko, H2OWorld New York
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2018.05 : Top 10 reasons to use data.table; O Jossome, T Robert and F Meyer, dreamRs 2018
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2018.05 : The beauty of data manipulation with data.table, János Divényi, eRum Budapest
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2017.12 : data.table, Matt Dowle, H2O World Mountain View
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2017.11 : data.table, Sebastian Jeworutzki, useR! Bochum
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2017.07 : data.table for beginners (tutorial), Arun Srinivasan, useR! Brussels
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2017.04 : Parallel fread and other news from data.table, Matt Dowle, Bay Area RUG
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2017.04 : data.table power hour, Steph Locke, SQLBits London
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2017.01 : New developments in the data.table package, Arun Srinivasan, AmstRdam RUG
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2016.09 : Data manipulation the #rdatatable way, Arun Srinivasan, SatRdays Budapest
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2016.07 : Parallel and distributed ordered join benchmark, Matt Dowle, H2O Open Tour New York
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2016.07 : Proposal for parallel sort in base R (and Python/Julia), Matt Dowle, DSC Stanford
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2016.06 : Efficient in-memory non-equi joins, Arun Srinivasan, useR! Stanford
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2016.06 : Ninja Moves with data.table 3hr tutorial, Matt Dowle & Arun Srinivasan, useR! Stanford
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2016.05 Data Science Retreat, 3-day data.table course, Arun Srinivasan, DSR Berlin

2016.05 : Parallel and Distributed Joins in H2O, Matt Dowle, Data by the Bay San Francisco
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2016.05 : Parallel and Distributed Joins in H2O, Matt Dowle, H2O Open Tour Chicago
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2016.05 : R Lecture #3: data.table, Peter Hurford
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2016.02 Data Science Retreat, 3-day data.table course, Arun Srinivasan, DSR Berlin

2016.02 Parallel and Distributed Joining, Matt Dowle, Bay Area R User Group
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2016.01 Invited lecture by Matt Dowle at Stat290 Paradigms for Computing with Data, Stanford

2016.01 Invited lecture by Matt Dowle at FNCE3490 Data Science and Business Analytics, Santa Clara University

2016.01 data table discussion, Gaurav Chaturedi & Nicholas Ng, Singapore R User Group
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2015.10 Data Science Retreat, 3-day data.table course, Arun Srinivasan, DSR Berlin

2015.09 Blazing fast load and transform with data.table and Pentaho's PDI, Serban Tanasa, Data Wranglers Washington DC
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2015.09 The Joys of Clean Data, Matt Dowle, Silicon Valley Big Data Science Meetup
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2015.07 Data Science Retreat, 2-day data.table course, Arun Srinivasan, DSR Berlin

2015.07 Fast, flexible and memory efficient data manipulation, Arun Srinivasan, useR! Denmark
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2015.07 Fast, stable and scalable true radix sorting, Matt Dowle, useR! Denmark
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2015.06 H2O Design and Infrastructure, Matt Dowle, R Summit Copenhagen
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2015.06 News from data.table 1.9 and H2O, Matt Dowle, London R
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2015.05 Fast automatic indexing with data.table, Matt Dowle, R/Finance Chicago
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2015.05 Thinking in data.table, Arun Srinivasan, RBelgium, Brussels
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2015.05 Introduction to data.table, Matt Dowle, Bay Area R User Group
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2015.04 Making R Go Faster and Bigger, Jared Lander, New York R Conference
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2015.04 Fast automatic indexing with data.table for beginners, Matt Dowle, Big Data Science Meetup
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2015.02 Data Science Retreat, 2-day data.table course, Arun Srinivasan, DSR Berlin

2014.11 data.table talk, Matt Dowle, Budapest R Users Group [ TO DO - link to video ]

2014.11 data.table talk, Matt Dowle, Budapest BI Forum [ TO DO - link to slides ]
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2014.11 data.table and R in Insurance, Matt Dowle, H2O World Mountain View
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2014.11 A look at what's new in data.table, Matt Dowle, Bay Area R User Group, San Fransisco

2014.10 Data Science Retreat, 1-day data.table course, Arun Srinivasan, DSR Berlin

2014.10 data.table talk, Matt Dowle, SQL Relay, London

2014.10 data.table talk, Matt Dowle, SQL Relay, Cardiff

2014.09 New feature - Overlapping range joins for Genomics by Arun Srinivasan, history and benchmarks by Matt Dowle and four hour workshop, EARL Conference London [agenda] [ TO DO - link to video ]

2014.07 data.table talk, Matt Dowle, R/Insurance London [agenda]

2014.06 data.table : fast and flexible data manipulation, Matt Dowle, useR! Los Angeles
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2014.05 One hour tutorial, Matt Dowle, R/Finance Chicago [agenda]

2013.12 Introduction and news from 1.8.11, Matt Dowle and Arun Srinivasan, Köln R User Group

2013.05 Lightning introduction and tutorial, Matt Dowle, R/Finance Chicago

2013.02 Data Tables: An introduction (and pitch), Gene Leynes, ChicagoR. Online examples

2012.06 News from data.table 1.6, 1.7 and 1.8, Matt Dowle, LondonR

2012.03 Advanced analytics with R and SAP HANA (slides 22-24), Jitender Aswani and Jens Doerpmund. Code snippets on their blog.

2011.06 Data munging with R, Jim Holtman, CinDayR

2011.06 The data.table package, Fernando Figueiredo

2010.07 News from data.table 1.4 and 1.5, Matt Dowle, LondonR

2010.01 Data munging with SQL and R, Joshua Reich

2009.07 Higher speed time series queries, Matt Dowle, London R
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