Python Programming Techniques, 3/1/17
Overview: This mini-course will introduce participants to Python programming.
Python is a popular programming language for analyzing numerical and textual data. The mini-course will present elements and features of Python and how it can be used within a workflow. The course includes hands-on exercises so participants can become familiar with programming techniques. We will use the workstations in the Digital Learning Lab, 130 Lewis Science Library. Emphasis will be on getting started with Python and understanding its fundamentals so attendees can continue on their own. The course is intended for researchers working with data generated by simulations, acquired from experiments, or collected from other sources. Experience in another programming language is recommended background for the session.
Eliot Feibush is a Computational/Visualization Scientist. He specializes in developing scientific visualizations, frequently writing Python programs to select, analyze, convert, and display data from various applications and disciplines. Previously he has worked in medical imaging, architectural rendering, and geo-spatial analysis.
Please register online at the training website, www.princeton.edu/training or contact Andrea Rubinstein at firstname.lastname@example.org /258-1397.
Location: 130 Lewis Library, Digital Learning Lab
Date/Time: 03/01/17 at 2:00 pm - 03/01/17 at 3:30 pm