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Python

Overview
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This course is a fast-paced introduction to Python for PhD students in Economics and related fields.
The focus of the course is to learn the core of the Python programming language.
Students will apply Python to solve common problems in Economics, such as estimation and dynamic programming.
The course is designed for PhD students who have completed their 1st year of coursework and are interested in learning a general-purpose programming language. Recommended books and materials will be shared in this page.

Prerequisites
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  • This course is intended for Duke PhD students.
  • Graduate econometrics is required. Macroeconomics or microeconomics at the graduate level is also assumed.
  • Students should have basic programming experience (at the undergraduate level).
  • Students must have a laptop and bring it to the lectures.

Grades
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  • Final grade will be based on completion of assignments.
  • Assignments are due a few days after the last lecture of the course.
  • Attendance is mandatory for all classes.

Assignments
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  • Problems will be assigned at the end of each discussed topic.
  • Assignments are individual. Each student must:
    • Write their own code.
    • Create their own plots.
    • Interpret their own results.
    • Prepare a .pdf report using LaTeX.
  • The best way to learn the course contents is to complete assignments yourself.
  • No late projects are accepted.
  • Solutions with excessive overlap with another student’s work will receive a zero grade.
  • Students must uphold the Duke Community Standard.

Instructor and Schedule
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👨‍🏫 Instructor: Guilherme Salome

📅 Schedule:

  • Tuesdays & Thursdays: 1:00 PM - 3:30 PM
  • Fridays: 10:00 AM - 12:30 PM
  • Office Hours: By appointment

📍 Location: Social Sciences 124

📚 Course Materials
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July 2019
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August 2019
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