https://github.com/quantecon/dynamic_programming_lecture
Fast dynamic programming with Python
https://github.com/quantecon/dynamic_programming_lecture
Last synced: 3 months ago
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Fast dynamic programming with Python
- Host: GitHub
- URL: https://github.com/quantecon/dynamic_programming_lecture
- Owner: QuantEcon
- Created: 2020-02-02T05:01:05.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-02-02T05:07:20.000Z (over 6 years ago)
- Last Synced: 2024-10-30T04:29:58.126Z (over 1 year ago)
- Size: 1000 Bytes
- Stars: 3
- Watchers: 8
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Fast Dynamic Programming with Python
**An Introduction to High Performance Computing for Economists**
[John Stachurski](https://johnstachurski.net/)
This is a brief lecture on fast dynamic programming in Python using just-in-time compilation and multithreading.
Attendees are encouraged to bring their laptops and install [Anaconda Python](https://www.anaconda.com/distribution/) before they arrive.
Topics:
* [Using Python via Jupyter Notebooks](https://python.quantecon.org/getting_started.html)
* [First steps with Python](https://python.quantecon.org/python_by_example.html)
* [Scientific computing with Python](https://python.quantecon.org/need_for_speed.html)
* [Just-in-time compilation](https://python.quantecon.org/numba.html)
* [An example DP problem](https://python.quantecon.org/mccall_correlated.html)