Coffee and Code: Write Once Use Everywhere (Pandoc)

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Pandoc at http://pandoc.org  is a document processing program that runs on multiple operating systems (Mac, Windows, Linux) and can read and write a wide variety of file formats. In many respects, Pandoc can be thought of as a universal translator for documents. This workshop focuses on a subset of input and output document types, just scratching the surface of the transformations made possible by Pandoc.

Click 00-Overview.ipynb on the provided GitHub page or go directly to the overview, here:
https://github.com/unmrds/cc-pandoc/blob/master/00-Overview.ipynb

Authoring Organization(s) Name: 
University of New Mexico Research Data Services
License - link to legal statement specifying the copyright status of the learning resource: 
Apache-2.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data handling
Data transformation
Data wrangling
Format conversion
Published / Broadcast: 
Wednesday, May 10, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
University of New Mexico
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Data professional
Early-career research scientist
Mid-career research scientist
Software engineer
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles
Framework Node: FAIR: 
Accessible
Interoperable
Re-usable