Carpentries @ Stanford - Python Data Science
Time and Date: Friday, 2020-11-13 / 09:00 - 12:00 (Pacific Standard Time)
Location: Virtual via Zoom (will be emailed to participants separately)
Admission: Free. Open to Current Stanford Affiliates only. Registration is required, and offered on a first-come first-serve basis. Space is limited, with a waitlist when all slots are full.
Registration: Logging into Google using your Stanford email address and sign-on credentials (you may need to sign out of your personal account first in order to do this), sign up here: https://forms.gle/kKkDwxjPChzWHgh18
Audience: Faculty / Staff / Students / Postdocs
Event Sponsor: Stanford University Libraries - Carpentries Program
Event Contact: Zac Painter, email@example.com
Lead Instructors: Dr. Timothy Machado, Postdoctoral Researcher (Bioengineering)
Workshop Assistants: Zac Painter, Librarian (Engineering)Dr. Chris Roat, Software Developer (Experimental Physics, School of Medicine)
Course Description: Does your research generate lots of images that you need to quantify by hand? Maybe you're counting the number of bacterial colonies on a plate, or the number of stars in the sky. Do you wish you knew how to write code to do this sort of task automatically? In this short course, participants will learn to use Python, NumPy, and scikit-image to solve problems like these.
This class assumes that you have basic knowledge of Python, meaning you have experience with most of the skills listed here: https://datacarpentry.org/image-processing/prereqs/index.htmlThe earlier short course about Introductory Python will cover these topics.