Summary

Advanced Python Programming for Data Science

This course covers a selection of scientific programming tools occasionally used in Python programming at the advanced level. Students will work with multi-dimensional data and upgrade existing workflows to leverage parallel computing. Topics and exercises are selected to be relevant for data science applications. Tools are drawn primarily from the libraries Xarray and Dask.

Registration Overview

Prerequisite: Intermediate Python-or-mastery of the array and dataframe data structures and familiarity with the Google Colab integrated development environment.

Students completing this course will earn 5 PDH.
Please direct questions about the course to Help@hprc.tamu.edu . For questions related to the registration process, please contact TEES EDGE.

Learning Description

During this asynchronous, online course, students will learn how to handle multi-dimensional data using the Xarray library, and how to upgrade existing workflows to leverage parallel computing using the Dask library.

Target Audience

Students already familiar with Python programming language who are interested in scientific research on a topic that requires multi-dimensional data