Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

RR-Jupyter-hackathon-Jan-2018

Reproducible Research using Jupyter Notebooks: Curriculum Development Hackathon v 2.0

Curriculum Development Hackathon on Reproducible Research using Jupyter Notebooks, to be held Jan 9-10, 2018 at BIDS in Berkeley, CA

  • Goal: Continue development of the Reproducible Research with the Jupyter notebook curriculum, started at the first hackathon
  • Location: Berkeley Institute for Data Science (BIDS), Berkeley, CA. 190 Doe Library
  • Dates and times: January 9 - 10, 2018; 9 am - 5 pm January 9th and 9am - 12pm January 10th

Community

  • Public room on Gitter: Gitter chat
  • Hashtag: #rrhack

Products

An initial workshop was outlined at the first hackathon.

Reproducible Research using Jupyter Notebooks:Workshop Overview

In this hackathon, we'll work towards getting individual lessons to a state where they can be taught and have a 1.0 beta release of the lessons. The hackathon will be followed by teaching this curriculum at UC Merced January 11-12, 2018.

Draft Agenda

Before the meeting: Participants provided an overview of the lessons, and participants decide which lesson they plan to work on during the hackathon.

January 9, 2018

Time Activity
9am Welcome and introductions
9:30am Overview of current status of the lessons and clarifications
10:00am Overview of the template we'll be using for lessons
10:30am Break
11:00am Lesson groups: Planning for development
12:00pm Lunch
1:00pm Lesson groups: Lesson development
4:30pm Regroup: Short updates and clarifications
5:00pm Finish for the day

Group dinner: 6pm, Jupiter (where else? 😄)

January 10, 2018

Time Activity
9am Meet and address any questions or clarifications
9:30am Lesson groups: Lesson development
11:30 Regroup: updates from each lesson group
12:00 Finish for the day

People are welcome to stay past noon for more work if interested.

About

Information on small hackathon to get to a release of the RR Jupyter materials

Resources

Releases

No releases published

Packages

No packages published