Previous Topics
UC Berkeley
- April 25, 2018 Accessing public data on .gov websites -- Caroline Cypranowska
- April 18, 2018 Nima Hejazi & Jeremy Coyle -- Machine Learning Pipelines for R with sl3
- April 11, 2018 Joint meetup with the Graduate Data Science Organization
- April 4, 2018 TBD -- please volunteer to lead!
- March 28, 2018 Spring Break -- no THW
- March 21, 2018 Flask -- Mark Mikofski
- March 14, 2018 Joint meetup with the Graduate Data Science Organization
- March 7, 2018 No THW -- SF Open Drinks Meetup
- February 28, 2018 Intro to D3.js -- Caroline Cypranowska
- February 21, 2018 Mark Mikofski -- SQL and relational databases
- February 14, 2018 Joint meetup with the Graduate Data Science Organization
- February 7, 2018 Stuart Geiger -- Intro to Jupyter Notebooks
- January 31, 2018 Diya Das and David DeTomaso -- Intro to BASH and the command-line shell
- January 24, 2018 First Meeting -- What's on campus and what do we want to do this semester?
- December 6, 2017 Intro to Machine Learning with Scikit-Learn -- Qingkai Kong
- November 29, 2017 Mining scientific articles with Public Library of Science (PLoS) -- Elizabeth Seiver
- November 22, 2017 No THW on 11/22-- next meeting 11/29
- November 15, 2017 TBD -- TBD
- November 8, 2017 No THW this week -- next meeting 11/15
- November 1, 2017 Visualizations in R with ggplot2 -- Rebecca Barter
- October 25, 2017 No THW this week -- next session on 11/1
- October 18, 2017 Utility Functions in R -- Diya Das
- October 11, 2017 Using Jupyter Notebooks -- Stuart Geiger
- October 4, 2017 Using GitHub in Open Source Software Projects -- Mark Mikofski
- September 27, 2017 No meeting this week -- THW postponed until Oct 4
- September 20, 2017 Version Control with git -- Mitch Negus and Yu Feng
- September 13, 2017 Install Party -- Aaron Culich and Stuart Geiger
- September 6, 2017 First Meeting -- What do we want to learn and teach?
- May 2, 2017 No THW -- BIDS Data Science Faire
- April 25, 2017 Mapping and geospatial data -- Brian Hamlin
- April 18, 2017 Visualization in Python -- David DeTomaso
- April 11, 2017 Visualization in R -- Diya Das
- April 4, 2017 Containers with Docker -- Tony Kelman
- March 28, 2017 Spring Break -- no meeting
- March 21, 2017 Neural Networks using Transfer Learning with Caffe -- Maryana Alegro
- March 14, 2017 Data tidying in R & Python -- Diya Das and David Detomaso
- March 7, 2017 Documentation and Continuous Integration in Python with Sphinx and Travis CI -- Nelle Varoquaux, Chris Holdgraf, Matthias Bussonnier
- February 28, 2017 Visualization with D3.js -- Caroline Cypranowska and Luc Guillemot
- February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier
- February 14, 2017 Machine Learning with Neural Networks using Keras -- Remi Lehe
- February 7, 2017 Intro to Python -- Yu Feng and Stuart Geiger
- January 31, 2017 Navigating bash and UNIX environments -- Akos, Mitch, and Matthias
- January 24, 2017 What to Learn and Teach for Spring 2017
- December 6, 2016 Ensemble (Machine) Learning with Super Learner and H2O in R -- Nima Hejazi and Evan Muzzall
- November 29, 2016 RStudio -- Diya Das and Wolf Ketter
- November 22, 2016 Thanksgiving -- The Turkey Within (no meeting)
- November 15, 2016 Machine learning with scikit-learn - Rochelle Terman and Christopher Hench
- November 8, 2016 Matplotlib - Yu Feng
- November 1, 2016 Physical Computing - Brandon Curtis
- October 25, 2016 The Python Olympics - John Bohannon
- October 18, 2016 Parallelization in Python - Remi Lehe
- October 11, 2016 Natural Language Processing for Python with NLTK -- Christopher Hench
- October 4, 2016 Git and Github -- Tony Kelman and Garret Christensen
- September 27, 2016 Github Pages and Jekyll - Stuart Geiger
- September 20, 2016 Machine Learning for Kaggle Competitions with R -- Jerry Chen
- September 13, 2016 The Bash Olympics -- Aaron Culich and John Bohannon
- September 6, 2016 What To Learn and Teach - Everyone
- April 27, 2016 D3.js - Kai Chang
- April 20, 2016 Tableau - Harrison Dekker
- April 13, 2016 Build Systems - Tony Kelman
- April 6, 2016 Cython - Kyle Barbary
- March 30, 2016 Python For Plotting Timeseries & 3D Data - Qingkai Kong, Andy Haefner
- March 16, 2016 matplotlib - Tenzing Joshi & Nick Swanson-Hysell
- March 9, 2016 Handling and Visualizing Geospatial Data - Kevin Koy
- March 2, 2016 Python Metaprogramming & Conversion to Python 3 - Ryan Pavlovsky & Matthias Bussonnier
- February 24, 2016 Julia - Tony Kelman and Kyle Barbary
- February 17, 2016 Scraping Wikipedia Data - Stuart Geiger
- February 10, 2016 Pandas - Tenzing Joshi
- February 3, 2016 LaTeX - Rachel Slaybaugh, Mike Pacer, and Katy Huff
- January 27, 2016 What To Learn and Teach - All
- December 2, 2015 High Performance Python - Chick Markley
- November 25, 2015 No Meeting - Thanksgiving
- November 18, 2015 scikit-learn - Ross Barnowski and Shannon McCurdy
- November 11, 2015 No Meeting - Veterans' Day
- November 4, 2015 scikit-image - Stefan van der Walt
- October 28, 2015 Advanced Python - Sven Chilton, Matthias Bussonnier
- October 21, 2015 GPUs and Parallelization - Biye Jiang, Aaron Culich
- October 14, 2015 Webscraping - John Bohannon, Sven Chilton
- October 7, 2015 Free-Form Hacking
- September 30, 2015 Pandas - Sean Wahl & Sven Chilton
- September 23, 2015 Spark and Hadoop - Zhao Zhang
- September 16, 2015 Visualization - John Naulty, Ross Barnowski, Biye Jiang, Jennifer Jones
- September 9, 2015 Advanced Git and GitHub - Ross Barnowski, Kyle Barbary, Katy Huff
- September 2, 2015 Introductory Git and GitHub - Harrison Dekker and John Naulty Jr.
- August 26, 2015 What Do You Want To Learn and What Can You Teach - Everyone
- May 6, 2015 Shiny - Karthik Ram
- April 29, 2015 Make - Chris Paciorek
- April 22, 2015 C++ and Object Orientation - Sven Chilton
- April 15, 2015 Microcontrollers - Anders Priest
- April 8, 2015 Julia - Kyle Barbary
- April 1, 2015 R - Rochelle Terman, Daniel Turek
- March 18, 2015 Computer Architectures - Alex Chong
- March 11, 2015 Testing - Rachel Slaybaugh
- March 4, 2015 Matplotlib and Seaborn - Caroline Sofiatti and Sean Wahl
- February 25, 2015 IPython - Omoju Miller
- February 18, 2015 Advanced Git - Dav Clark
- February 11, 2015 Text Editors - Everyone
- February 4, 2015 Parallel Programming - Chris Paciorek
- January 28, 2015 The Shell and The Filesystem Hierarchy Standard - Katy Huff
- January 21, 2015 What Do You Want To Learn and What Can You Teach - Everyone
- December 3, 2014 Nuclear Data and Advanced Cython - Morgan White and Cameron Bates
- November 19, 2014 ORIGEN and Open Source
- November 5, 2014 Cython and the Python C/API - Ross Barnowski
- October 29, 2014 Jekyll - Katy Huff
- October 22, 2014 MocDown and Pyne Install - Phil Gorman and Kelly Rowland
- October 15, 2014 MocDown and Python Threading - George Zhang, Phil Gorman, Ross Barnowski
- October 8, 2014 Numpy Vectorization and Python Logging - Andy Haefner and Dan Wooten
- October 1, 2014 HPC Module Installation and Plotting Tools - Everyone!
- September 24, 2014 PARCS and RadWatch (without the physics) - Sandra Bogetic and Ryan Pavlovsky
- September 18, 2014 When and Where Survey
- September 17, 2014 Serpent and LaTeX - Alejandra Jolodosky and Katy Huff
- September 10, 2014 CRAM and imagemagick - Dan Wooten and Madicken Munk
- September 3, 2014 Computational Nuclear Engineering Overview & Bash - Max Fratoni & Katy Huff
- August 27, 2014 Fall Kickoff 2014
- April 29, 2014 LaTeX - Laurence Lewis
- April 23, 2014 So You Have A Software
- April 22, 2014 Packaging and Distribution - Anthony Scopatz
- April 16, 2014 Emailing with Python - Ross Barnowski
- April 9, 2014 Raspberry Pi Hacking - Ryan Pavlovsky
- April 2, 2014 Testing Part II - Katy Huff
- March 19, 2014 Testing - Katy Huff
- March 12, 2014 IPython - Ross Barnowski
- March 5, 2014 Makefiles - Katy Huff
- February 26, 2014 Self Documenting Code - Rachel Slaybaugh
- February 19, 2014 Intro to Git Part II - Katy Huff
- February 12, 2014 Intro to Git - Katy Huff
- February 5, 2014 GPUs and CUDA - Ryan Bergmann
- January 22, 2014 Bash Meeting - Katy Huff
- January 15, 2014 First Meeting