DPIR Introduction to Python for Social Science Repository
Welcome to the official course website for the Introduction to Python for Social Science optional methods module at the Department of Politics and International Relations, University of Oxford.
I will be posting all slides, workbooks, practice sets and solutions on this website. Recorded lectures will be hosted on Canvas/Panopto. Information regarding office hours will be sent out in the coming days.
Lectures will be held weekly at time/place tbd. Office hours will be discussed in the first lectures.
You can find an older syllabus for the course here.
reveal.js for the lecture slides, so they should be viewable in the browser on any device.
You might note that the previous year’s slides are still accessible via the linked GitHub. Please note that there are some substantial changes being made to the course, and the slides in the GitHub may not reflect this yet.
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My name is Musashi Harukawa, I am a DPhil Politics student at the University of Oxford. Prior to returning to academia, I worked as a quantitative analyst/data scientist at a stock exchange in Tokyo and an English teacher in Moscow.
I research computational methods for unstructured (i.e. text or image) data and digital political campaigning. I also have a blog!
“Estimating the Micro_Targeting Effect: Evidence from a Survey Experiment During the 2020 U.S. Presidential Election”, Under Review, Link to Presentation