Library Carpentry is a volunteer organisation whose members teach software and data skills to librarians. Housed on GitHub, all Library Carpentry lessons are open source, with an open contribution model, and lessons are collaboratively created and maintained by volunteers.
I have worked as co-maintainer of the XXX Library Carpentry lesson for YYY years. This work equates to the role of an associate editor at a journal - someone who evaluates submissions and helps shape a journal’s direction and content. Lesson maintenance involves discussing and resolving issues raised about the lesson, managing corrections and updates to material, and implementing larger directional and content upgrades.
Working as a lesson maintainer has sharpened my skills in the following ways.
I have
• developed excellent version control skills and experience with git and GitHub
• broadened my strategic thinking and decision-making capabilities
• gained valuable experience managing a collaborative project – both the technical aspects and managing
interpersonal interactions with a wide range of community members
• gained useful teaching insights and perspectives by working so closely on a specific lesson
• developed transferable skills in software development and teaching
• volunteered my time to help teach others these skills because I believe in the importance of these skills to
foster research
• learned better time management to stay on top of all my commitments.
library-python-intro course, and was hoping someone could clarify whether the course is to be taught entirely in Anaconda/Spyder, or if it will use Jupyter Notebooks? The 'setup' section seems to suggest the former, but I see references in the lessons to Notebooks. Should these be removed? Cheers, S