Developer Tools

Collection of resources I've found to be helpful for data science and programming - katiejolly/data-resources

Simple data versioning and distribution. Contribute to ropenscilabs/datastorr development by creating an account on GitHub.

Tidyflow: a workflow that fits the tidyverse. Contribute to MaximeWack/tidyflow development by creating an account on GitHub.

Lightweight package to do qualitative coding. Contribute to ropenscilabs/qcoder development by creating an account on GitHub.

Set up Travis CI for testing and deployment . Contribute to ropensci-archive/travis development by creating an account on GitHub.

Carson Sievert's web applications. Contribute to cpsievert/apps development by creating an account on GitHub.

Tools for reshaping text data. Contribute to trinker/textshape development by creating an account on GitHub.

Tools for cleaning and normalizing text data. Contribute to trinker/textclean development by creating an account on GitHub.

This is a list of R developers and advocates on Github. This is to help new comers create a following list. - amrrs/awesome_R_Githubers

A list of commonly used Git commands. Contribute to joshnh/Git-Commands development by creating an account on GitHub.

Carefully curated resource links for data science in one place - tirthajyoti/Data-science-best-resources

A curated list of awesome R packages, frameworks and software. - qinwf/awesome-R

A project template and directory structure for Python data science projects.

The jQuery plugin that brings select elements into the 21st century with intuitive multiselection, searching, and much more. Now with Bootstrap 4 support.

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