Events - Weekly
|Sunday, October 26|
|Monday, October 27|
Introduction to Python for Scientific Computing
Python is a free, open-source, general-purpose programming language that is widely used in all fields of scientific computing. This six-hour workshop will be broken into three sections. The first section’s objective is to show you “what’s out there” in terms of scientific computing in Python. We will start with a quick recap of Python’s syntax, variables and control structures before demonstrating features from Python’s scientific computing stack : Numpy, Scipy, Matplotlib, and Pandas. In the second section, we will run through some hands-on exercises to perform an exploratory data analysis on a real dataset using these packages. Finally, in the third section, we demonstrate a num-ber of other packages for model-fitting, MCMC, machine learning, and image processing.
Quentin Caudron is a postdoctoral researcher in the Department of Ecology and Evolutionary Biology, with a background in physics and computer science. Quentin's research interests include mathematical modelling, time se-ries analysis, image processing, statistical inference, and, recently, embedded computing. Quentin uses Python on a daily basis for the vast majority of his computational work.
Register today at the Training website, www.princeton.edu/training or contact Andrea Rubinstein at firstname.lastname@example.org/258-1397.
138 Lewis Science Library · 10:00 a.m.– 4:00 p.m.
|Tuesday, October 28|
|Wednesday, October 29|
|Thursday, October 30|
|Friday, October 31|
|Saturday, November 1|