Fogler Library will host a workshop on building regression models in Python, one of the most versatile, powerful, and popular programming languages in the world. From web development to data visualization, learning Python will give you an in-demand skill that you can put to immediate use. This introductory workshop is presented in collaboration with UMaine’s Advanced Computing Group.
This workshop is open to participants with all levels of coding experience. We recommend bringing fully charged laptops, with Python 2.0 or higher (www.python.org) already installed. Laptops will be available for attendees who need to borrow one. If you would prefer to attend via Zoom instead, email firstname.lastname@example.org for connection information.
About the presenter:
Xinyuan Wei is a Ph.D. candidate in the School of Forest Resources. His research includes the carbon cycle, spatial statistics, geographic information science, and remote sensing. Currently, he is working on the estimate of global terrestrial ecosystem carbon cycle with computer models.