https://github.com/quantecon/nus_workshop_2016
Computational Economics with Python and Julia
https://github.com/quantecon/nus_workshop_2016
Last synced: 29 days ago
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Computational Economics with Python and Julia
- Host: GitHub
- URL: https://github.com/quantecon/nus_workshop_2016
- Owner: QuantEcon
- Created: 2016-11-17T05:57:08.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-11-27T02:34:18.000Z (over 9 years ago)
- Last Synced: 2024-10-30T04:30:00.314Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 3.22 MB
- Stars: 7
- Watchers: 6
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Computational Economics with Python and Julia
## National University of Singapore, October 2016
Lecturer: [John Stachurski](http://johnstachurski.net/)
Support: [Matthew McKay](https://github.com/mmcky)
Economists are increasingly adopting modern open source computing environments
such as [Python](https://www.python.org/) and [Julia](http://julialang.org/)
for research and policy analysis.
This workshop will cover the basics of these two languages and their use in
computational economics. We assume that participants
have basic programming skills but do not know either Python or Julia. We
will provide a comparison and overview of these languanges, including set up,
installation and some useful libraries.
### Instructions
* Before coming, please install [Anaconda Python](https://www.continuum.io/downloads) on your laptop
* Python + the main scientific libraries
* Free from http://continuum.io/downloads
* Choose the Python 3.5 version
* Make it your default Python distribution
* Install [Julia](http://julialang.org/downloads)
* Follow instructions for your OS
* Some extra info [here](http://julialang.org/downloads/platform.html) if you need it
Please be sure to bring your laptop to the workshop. We will have a trouble shooting session at the start.
Please make sure that you have wireless access.
### Notebooks
* [AR1 simulation in Julia](http://nbviewer.jupyter.org/github/QuantEcon/NUS_workshop_2016/blob/master/ar1_plots_julia.ipynb)
* [AR1 simulation in Python](http://nbviewer.jupyter.org/github/QuantEcon/NUS_workshop_2016/blob/master/ar1_plots_python.ipynb)
### Resources
* [QuantEcon lectures](http://lectures.quantecon.org/)
* [Cheat sheet](http://cheatsheets.quantecon.org/)
* [Forum](http://discourse.quantecon.org/)
### Get the Files
To access the files in this repositiory, either
* [use git](https://git-scm.com), if you know what that is, or
* download the zip file (see top right of page)
### Other
Also consider installing
* a modern browser (Chrome / Firefox / Vivaldi)
* a good text editor such as [Atom](https://atom.io/)
* [Git](https://git-scm.com/downloads)