Workshop at Digitial Data 3: Tools and Best Practices for Biodiversity Data Science: A Data Carpentries Introduction with Python

Add this event to your calendar:

Add to My Calendar
Wed, 07/24/2019 - 12:18pm -- dpaul

The Carpentries (comprised of Data Carpentry, Library Carpentry, and Software Carpentry) is a project whose mission is to teach foundational computational and data science skills to researchers and others who create, manage, and use data. Specifically, Data Carpentry lessons are designed to be picked up by learners who do not have any previous programming experience. Data Carpentry workshops are typically organized in a 2-day format, but we will compress the lessons in this workshop to one day (June 12th, 2019) to focus on learning Python and Jupyter notebooks to work with data files in a reproducible manner. Before covering Python, we will go through a lesson using Excel to learn about the "tidy data" format, and best practices for working with tabular data files. We will also spend some time discussing community-building around the Carpentries, and how we can partner together to build biodiversity data science literacy at our organizations.

Workshop website

Post workshop survey report

Digital Data III Wiki (with workshop announcement).

This collaborative event was produced jointly by the Smithsonian and iDigBio as active members in the Carpentries organization. People involved include: Instructors: Holly Little, Deb Paul, Mike Trizna and Helpers: Jen Hammock, Nicholas Rejack, Mirian Tsuchiya, and Alex White.


Start Date: 
Wednesday, June 12, 2019 (All day)
Yale University
New Haven