by Lucas Kyriacou has posted a Jupyter notebook with a great introduction to Python. From the readme file: This course aims to introduce PhD students to the basics of the popular and powerful programming language called Python. After going through the basics, we will also see some applications such as OLS regression, extraction of information from textual data, data visualization and object-oriented programming. In an extended version of this course we will further discuss various applications such as bulk downloading macroeconomic data, VAR estimation and solving macroeconomic models.
Topics:
Dirk Niepelt considers the following as important: Code, Notes, Python, Teaching
This could be interesting, too:
Dirk Niepelt writes “Governments are bigger than ever. They are also more useless”
Dirk Niepelt writes The New Keynesian Model and Reality
Dirk Niepelt writes Urban Roadway in America: Land Value
Dirk Niepelt writes “Macroeconomics II,” Bern, Fall 2024
Lucas Kyriacou has posted a Jupyter notebook with a great introduction to Python.
From the readme file:
This course aims to introduce PhD students to the basics of the popular and powerful programming language called Python. After going through the basics, we will also see some applications such as OLS regression, extraction of information from textual data, data visualization and object-oriented programming. In an extended version of this course we will further discuss various applications such as bulk downloading macroeconomic data, VAR estimation and solving macroeconomic models.