Name: Data Carpentry
Type: Organization
Bio: Workshops teaching scientists basic skills for retrieving, viewing, managing, and manipulating data in an open and reproducible way.
This repository is the historical repository of Data Carpentry lessons. Each lesson is now its own repository, so please see those individual repositories for the most recent versions of the lessons or to do any lesson development.
DO NOT USE OR DEVELOP IN THIS REPOSITORY
The repositories for individual lessons can be found here:
.github
2014-07-24-beacon
Data Carpentry workshop July 24-25 BEACON
2014-09-29-idigbio
Data Carpentry repository for iDigBio workshop Sept 29-30
2014-11-27-elixiruk-manchester
2015-02-09-ucdavis
UC Davis Data Carpentry workshop
2015-03-09-isi-codata
Data Carpentry workshop for ISI CODATA International Training Workshop on Big Data
2015-03-30-aaas
Data Carpentry workshop for AAAS
2015-04-23-stanford
Stanford Data Carpentry Workshop
2015-05-03-ndic
Data Carpentry workshop at 2015 National Data Integrity Conference at CSU
2015-05-14-wsu
Data Carpentry workshop at Washington State University
2015-05-29-great-plains
2015-05-30-hastac
Data Carpentry workshop at HASTAC
2015-06-25-pnw
2015-06-30-federalreserveboard
Data Carpentry workshop at the Federal Reserve Board
2015-07-22-jamesmadison
Repository for Genomics Data Carpentry workshop at James Madison University
2015-07-30-aspb
American Society for Plant Biologist Genomics workshop
2015-08-24-isu
Genomics Data Carpentry workshop at ISU
2015-08-24-sloan-kettering
Data Carpentry workshop at Sloan-Kettering
2015-09-21-genentech
Data Carpentry workshop at Genentech
2015-09-22-ucdavis
Data Carpentry Genomics workshop at UC Davis
2015-09-23-tdwg
TDWG Data Carpentry workshop
2015-11-04-acuns
2015-11-23-caltech
Data Carpentry workshop at Caltech
2015-12-07-rijkzwaan
Data Carpentry workshop for Rijkzwaan
2016-01-19-sbu
Data Carpentry Genomics workshop for Stony Brook University
2016-03-03-ucmp
Data Carpentry workshop at UC Berkeley and remote at University of Oregon
2016-04-04-gonzaga
2016-05-26-nih
2016-05-29-pycon
Data Carpentry tutorial at PyCon: An Introduction to Python for Data Analysis and Visualization
2016-06-23-cc
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
