Now offering in person (for Princeton affiliates only) and Zoom webinar (non-Princeton and off-campus Princeton affiliates): REGISTRATION IS REQUIRED FOR BOTH Attending in person: [ https://docs.google.com/forms/d/e/1FAIpQLSetxqgVqlgnNQwHKJ-IFA_V84gY2YxFip_4vfKsF60MCRmL9Q/viewform?vc=0&c=0&w=1&flr=0 | REGISTER HERE ] Zoom webinar: [ https://princeton.zoom.us/webinar/register/WN_NIQuLIkvQS-UlwnYdywGRA | ZOOM WEBINAR REGISTER HERE ] DataX Workshop Series: Best Practices in Python Packaging [ https://csml.princeton.edu/news/datax-brian-arnold-using-data-science-answer... | Brian Arnold ] , DataX Biomedical Data Scientist [ https://csml.princeton.edu/news/solving-technical-debt-dilemma-princetons-ma... | Vineet Bansal ] , Sr. Research Software Engineer October 1, 2021 9:00 am Location: 26 Prospect Avenue, Room 103 Seating is limited – please reserve your spot early! This workshop is for researchers who are already using Python for their work, but who want to distribute their software to the broader scientific community by packaging their code for other researchers to easily use. We will learn about structuring our code as modules and packages, and publishing packages on PyPI and conda, both of which are commonly used in the life sciences to install open-source software. We will gain insights into ensuring reproducibility in research through the process of versioning, continuous integration and testing. Finally, we will look at a sample Python project that puts all these best practices together. [ https://docs.google.com/forms/d/e/1FAIpQLSetxqgVqlgnNQwHKJ-IFA_V84gY2YxFip_4vfKsF60MCRmL9Q/viewform?vc=0&c=0&w=1&flr=0 | REGISTER HERE ]
