Course Description: Python is a versatile and powerful general-purpose programming language, and people with a broad spectrum of skills use it for their research and work. Handling data in Python is sometimes challenging in terms of working with large datasets and efficient parsing of data files. In this course, we’ll go deep in Python and best practices when working with datasets and especially tools for handling large datasets. We cover intermediate to advanced topics from data structures to working efficiently with large data files.

 

Pre-Requisites: Basic familiarity with Python is required. Participants should be able to use an integrated development environment (IDE) or a command-line text editor, such as Vim/Nano/Emacs, without assistance.

 

Additional Information: Students and researchers can either utilize the FAS Research Computing CANNON cluster, other HPC systems or their own laptop/PC to run the Python codes. Please contact mohammadi_shad@harvard.edu if you have any questions.

 

Date/Time: 12/01/2023 , 11am – 1pm

Register: Link