Debugging & Profiling Code, in Python and R

Looking for best practices to find bugs in your code? Looking for ways to improve the performance of the code that you write? Fortunately, there are tools available to users to speed up these tasks that are more robust than merely inserting and deleting print statements.This session will cover best practices for intermediate level code debugging and profiling to identify bugs and bottlenecks in the code that consume more than expected amount of resources. We will primarily focus on Python and R with some hands-on exercises. Participants will need to install some tools in advance to participate in the exercises--the facilitator will contact you in advance of the session to let you know how to install the needed software.

Meet the Facilitator:
Abhishek Biswas is a Research Software Engineer in the Department of Research Computing. He works on software engineering projects for various labs in the Department of Molecular Biology. He is generally involved in development of scalable high-performance computing and visualization pipelines for analyzing genomics, proteomics, and imaging datasets.

What to Expect:
Single Workshop

To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.

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Co-hosted with: PICSciE/Research Computing

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