Parallel Python

Research
Description: 

So you’ve gotten really good at python. Your algorithm is perfect, your data is clean … and it takes hours to run. In fact, you just realized that you could be running this in a dozen different ways by tweaking some parameters, but that would take days to run … if you get really lucky and it completes with no errors. It’s time to parallelize your code. In this class, you will learn a couple basic methods for parallelizing your code and completing your jobs in a fraction of the time. Prior experience with python is strongly recommended. This class will be of special interest to graduate students in the social sciences.

Dates for this Short Course

Thursday, October 29, 2020 - 10:00am to 11:30am
Location: 
Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
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