Tags

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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
February 28, 2017 Visualization with D3.js -- Caroline Cypranowska and Luc Guillemot
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
March 16, 2016 matplotlib - Tenzing Joshi & Nick Swanson-Hysell

<+

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
February 28, 2017 Visualization with D3.js -- Caroline Cypranowska and Luc Guillemot
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
March 16, 2016 matplotlib - Tenzing Joshi & Nick Swanson-Hysell

backtothefuture

February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier

bash

September 3, 2014 Computational Nuclear Engineering Overview & Bash - Max Fratoni & Katy Huff
April 16, 2014 Emailing with Python - Ross Barnowski
January 22, 2014 Bash Meeting - Katy Huff

c++

April 22, 2015 C++ and Object Orientation - Sven Chilton

cthulhu

February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier

data

February 17, 2016 Scraping Wikipedia Data - Stuart Geiger
February 10, 2016 Pandas - Tenzing Joshi
November 18, 2015 scikit-learn - Ross Barnowski and Shannon McCurdy
October 14, 2015 Webscraping - John Bohannon, Sven Chilton
September 30, 2015 Pandas - Sean Wahl & Sven Chilton
September 23, 2015 Spark and Hadoop - Zhao Zhang

documentation

February 26, 2014 Self Documenting Code - Rachel Slaybaugh

doxygen

February 26, 2014 Self Documenting Code - Rachel Slaybaugh

editors

October 7, 2015 Free-Form Hacking
February 11, 2015 Text Editors - Everyone

education

May 13, 2015 Technology For Teaching - Matthew Brett

git

February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier
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.
February 18, 2015 Advanced Git - Dav Clark
February 19, 2014 Intro to Git Part II - Katy Huff
February 12, 2014 Intro to Git - Katy Huff

github

February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier

h2g2

February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier

hardware

October 21, 2015 GPUs and Parallelization - Biye Jiang, Aaron Culich
April 15, 2015 Microcontrollers - Anders Priest
March 18, 2015 Computer Architectures - Alex Chong

hpc

December 2, 2015 High Performance Python - Chick Markley
October 21, 2015 GPUs and Parallelization - Biye Jiang, Aaron Culich
September 23, 2015 Spark and Hadoop - Zhao Zhang
February 4, 2015 Parallel Programming - Chris Paciorek
October 1, 2014 HPC Module Installation and Plotting Tools - Everyone!

ipython

May 13, 2015 Technology For Teaching - Matthew Brett

julia

February 24, 2016 Julia - Tony Kelman and Kyle Barbary
April 8, 2015 Julia - Kyle Barbary

latex

February 3, 2016 LaTeX - Rachel Slaybaugh, Mike Pacer, and Katy Huff
October 7, 2015 Free-Form Hacking
September 17, 2014 Serpent and LaTeX - Alejandra Jolodosky and Katy Huff
April 29, 2014 LaTeX - Laurence Lewis

make

April 13, 2016 Build Systems - Tony Kelman
March 5, 2014 Makefiles - Katy Huff

meeting

May 2, 2018 Tim Howes -- File syncing tools - syncthing, dat, git-annex
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 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 23, 2016 No Meeting - Spring Break
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 13, 2015 Technology For Teaching - Matthew Brett
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 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

meta

September 6, 2016 What To Learn and Teach - Everyone
January 27, 2016 What To Learn and Teach - All
August 26, 2015 What Do You Want To Learn and What Can You Teach - Everyone
January 21, 2015 What Do You Want To Learn and What Can You Teach - Everyone
September 18, 2014 When and Where Survey
January 15, 2014 First Meeting

mocdown

October 15, 2014 MocDown and Python Threading - George Zhang, Phil Gorman, Ross Barnowski

nose

March 19, 2014 Testing - Katy Huff

parcs

September 24, 2014 PARCS and RadWatch (without the physics) - Sandra Bogetic and Ryan Pavlovsky

plotting

April 27, 2016 D3.js - Kai Chang
March 30, 2016 Python For Plotting Timeseries & 3D Data - Qingkai Kong, Andy Haefner
March 9, 2016 Handling and Visualizing Geospatial Data - Kevin Koy
September 16, 2015 Visualization - John Naulty, Ross Barnowski, Biye Jiang, Jennifer Jones
March 4, 2015 Matplotlib and Seaborn - Caroline Sofiatti and Sean Wahl
October 1, 2014 HPC Module Installation and Plotting Tools - Everyone!
September 10, 2014 CRAM and imagemagick - Dan Wooten and Madicken Munk

posts

February 14, 2018 Joint meetup with the Graduate Data Science Organization

python

April 6, 2016 Cython - Kyle Barbary
March 30, 2016 Python For Plotting Timeseries & 3D Data - Qingkai Kong, Andy Haefner
March 2, 2016 Python Metaprogramming & Conversion to Python 3 - Ryan Pavlovsky & Matthias Bussonnier
February 10, 2016 Pandas - Tenzing Joshi
December 2, 2015 High Performance Python - Chick Markley
November 18, 2015 scikit-learn - Ross Barnowski and Shannon McCurdy
November 4, 2015 scikit-image - Stefan van der Walt
October 28, 2015 Advanced Python - Sven Chilton, Matthias Bussonnier
September 30, 2015 Pandas - Sean Wahl & Sven Chilton
September 16, 2015 Visualization - John Naulty, Ross Barnowski, Biye Jiang, Jennifer Jones
May 13, 2015 Technology For Teaching - Matthew Brett
March 4, 2015 Matplotlib and Seaborn - Caroline Sofiatti and Sean Wahl
February 25, 2015 IPython - Omoju Miller
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
April 22, 2014 Packaging and Distribution - Anthony Scopatz
March 12, 2014 IPython - Ross Barnowski

r

September 16, 2015 Visualization - John Naulty, Ross Barnowski, Biye Jiang, Jennifer Jones
May 6, 2015 Shiny - Karthik Ram
April 1, 2015 R - Rochelle Terman, Daniel Turek

reproducibility

April 13, 2016 Build Systems - Tony Kelman
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.

rickandmorty

February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier

serpent

September 17, 2014 Serpent and LaTeX - Alejandra Jolodosky and Katy Huff

shell

January 28, 2015 The Shell and The Filesystem Hierarchy Standard - Katy Huff
September 24, 2014 PARCS and RadWatch (without the physics) - Sandra Bogetic and Ryan Pavlovsky
April 16, 2014 Emailing with Python - Ross Barnowski
January 22, 2014 Bash Meeting - Katy Huff

tags

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
February 28, 2017 Visualization with D3.js -- Caroline Cypranowska and Luc Guillemot
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
March 16, 2016 matplotlib - Tenzing Joshi & Nick Swanson-Hysell

web

February 17, 2016 Scraping Wikipedia Data - Stuart Geiger
October 14, 2015 Webscraping - John Bohannon, Sven Chilton

xkcd

February 21, 2017 Git and GitHub -- Ciera Martinez and Matthias Bussonnier