At the top of the file there should be a short introduction and/ or overview that explains what the project is.
master/
├── tutorial/
| ├── part1/
| | ├── figs/ # Figures folder
| | └── introduction.ipynb # Part1 of tutorial
| ├── part2/
| | ├── Galveston.csv # A dataset used in Part2B
| | ├── gev_distribution_fitting.ipynb # Part2A of tutorial
| | └── normal_distribution_fitting.ipynb # Part2B of tutorial
| └── part3/
| | └── Currently doesn't exist... waiting on Nihar
├── .gitignore
├── README.md
└── tony_scratch.ipynb # Tony's scratch work from our meetings
A short description of the motivation behind the creation and maintenance of the project. This should explain why the project exists.
Installing Jupyter: Before you play around with our tutorial, first install Jupyter Notebook:
pip install jupyterPlease note that if pip is connected to Python 2.7 on your computer, then you can also try pip3. You can also install Anaconda Python 3.6, which downloads both Python 3.6 and Jupyter.
Cloning Repo & Starting Jupyter Server: After you have installed Jupyter, run the following commands:
# Clone the tutorial repo
git clone https://github.com/MingxuanZhang/MCMC_Tutorial
# Go to the repo directory
cd MCMC_Tutorial
# Start the Jupyter server
jupyter notebookAfter executing the last command, you should be redirected to a localhost server in your browser. Click on the tutorials you want to view, which are listed above... and have a blast!
TODO
Please enjoy the code and offer us any suggestions. It is our aim to make the tutorials accessible and usable by all, so that anyone can easily pick up MCMC thinking. We are always interested to hear about potential improvements to the tutorial... suggestions and pull requests are highly encouraged!
Questions? Tony Wong (anthony.e.wong@colorado.edu)
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| John Letey | Mingxuan Zhang | Nihar Nandan | Tony Wong |