https://github.com/quantecon/imf_2025
IMF workshop May 2025
https://github.com/quantecon/imf_2025
Last synced: 8 months ago
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IMF workshop May 2025
- Host: GitHub
- URL: https://github.com/quantecon/imf_2025
- Owner: QuantEcon
- License: bsd-3-clause
- Created: 2025-03-10T23:46:14.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-12T01:41:37.000Z (over 1 year ago)
- Last Synced: 2025-09-14T12:37:24.341Z (9 months ago)
- Size: 6.84 KB
- Stars: 3
- Watchers: 5
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Modern Computational Economics with Python
A workshop for the IMF's Institute for Capacity Development
## Abstract
Open source scientific computing environments built around the Python
programming language have expanded rapidly in recent years. They now form the
dominant paradigm in artificial intelligence and many fields within the natural
sciences. Economists can greatly enhance their modeling and data processing
capabilities by exploiting Python's scientific ecosystem. This course will
cover the foundations of Python programming and Python scientific libraries,
discuss their connection to economic applications, and also investigate how
Python is being used as the major language of AI.
## Times and Dates
* Dates: May 19-21, 2025
* Times: 9:30 -- 12:30 and 14:00 -- 17:00
* Location: TBA
## Instructors
[Chase Coleman](https://github.com/cc7768) is a computational economist based at New York University where
he is a visiting assistant professor. He was an early contributor at QuantEcon
and, along with other members of QuantEcon, has given lectures and workshops
on Python, Julia, and other open source computational tools at institutions and
universities all around the world.
[John Stachurski](https://johnstachurski.net/) is a mathematical and
computational economist based at the Australian National University who works on
algorithms at the intersection of dynamic programming, Markov dynamics,
economics, and finance. His work is published in journals such as the Journal
of Finance, the Journal of Economic Theory, Automatica, Econometrica, and
Operations Research. In 2016 he co-founded QuantEcon with Thomas J. Sargent.
## Syllabus
* Monday morning: Introduction
- TBA
* Monday afternoon: Python basics
- TBA
* Tuesday morning: Markov models in Python
- TBA
* Tuesday afternoon: Dynamic programming
- TBA
* Wednesday morning: Heterogeneous agents
- TBA
* Wednesday afternoon: Further applications
- TBA
## Software
The main interface to Python will be either `jupyter-notebook` or `jupyter-lab`.
Access to the `ipython` REPL will also be useful.
Some work will be done remotely using Google Colab --- a Google account is
required.
Required Python libraries (much of which is found in the Anaconda Python distribution):
* `numpy`
* `scipy`
* `matplotlib`
* `pandas`
* `scikit-learn`
* `statsmodels`
* `numba`
* `f2py`
* `quantecon`
## Useful References
* https://www.anaconda.com/download
* https://github.com/google/jax/issues/13684 (for JS)