Carpentries @ Stanford - Python Images and Data Science

Time and Date: Friday, April 30, 2021 / 09:00 - 12:00 (Pacific Daylight 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/y3bdn6iTY8GpUzkf7

Audience: Faculty / Staff / Students / Postdocs 

Event Sponsor: Stanford University Libraries - Carpentries Program

Event Contact: Zac Painter, zwp [at] stanford.edu (zwp[at]stanford[dot]edu) 

Lead Instructors: Dr. Timothy Machado, Postdoctoral Researcher (Bioengineering)

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.