UW data analysis with Python webinar

The collection and analysis of data are central to all areas of acoustics. While data analysis has been performed extensively with several coding languages in the past, Python has been gaining prominence. This webinar will highlight some common applications of data analysis in Python using examples from underwater acoustics. The webinar will consist of a series of presentations by underwater acoustics experts. The first presentation will be a brief overview of some openly available datasets. Examples of spectral analyses on a few types of data will then be presented. Following the spectral analyses, a few array processing methods will be demonstrated and applications to data presented. The link to a GitHub repo for the codes and data samples used in this special session webinar will be provided to participants at the beginning of the session. Those familiar with Python and Jupyter Notebooks will be able to clone the repo and follow along during the webinar. The webinar will end with a discussion regarding additional freely available resources for data analysis in ocean acoustics.