This half-semester course offers an introduction to scientific computing in Economics using Python. It's tailored for students with minimal to no programming experience, or those looking to start using Python. Emphasis is on hands-on learning. A second focus of the course is to enable students to motivate Economics problems by summarizing and visualizing patterns and moments from data. Students will gain practical skills in utilizing Python libraries to enhance computational efficiency. If time allows, common computing methods and algorithms will be covered, particularly those relevant to discrete-time models commonly used in graduate-level studies. Prerequisite: Graduate Student standing.
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