Find and download the right version of Anaconda for Python 2.7 from Continuum Analytics. This package contains most of the software we are going to need.
- We need C, C++, Fortran compilers, as well as the Python sources.
Start a command line (look for
cmd) and type:
conda install mingw libpython
- Finally, you need git. As you install it, make sure you select that you want to use it from the Windows command prompt.
- Download and install Xcode
- Agree to the license of Xcode by opening a terminal and typing:
sudo xcrun cc
- Install your favorite version of the GNU compiler suite. You can do this with Homebrew (after you install it of course), by typing in the terminal:
brew install gcc
Alternatively, you may use the MacPorts.
Nothing special is required.
Independently of the operating system, use the command line to install the following Python packages:
- Seaborn, for beatiful graphics:
conda install seaborn
- PyMC for MCMC sampling:
conda install pymc
- GPy for Gaussian process regression:
pip install GPy
- py-design for generating designs for computer codes:
pip install py-design
- py-orthpol for generating orthogonal polynomials with respect to arbitrary probability measures:
pip install py-orthpol
- Open the command line.
cdto your favorite folder.- Then, type:
git clone https://github.com/PredictiveScienceLab/MA598.git
- This will download the contents of this repository in a folder called
MA598. - Enter the
MA598folder:
cd MA598
- Start the jupyter notebook by typing the command:
jupyter notebook
- Use the browser to navigate the course, experiment with code etc.
- If the course contented is updated, type the following command (while being inside
MA598) to get the latest version:
git pull origin master
Keep in mind, that if you have made local changes to the repository, you may have to commit them before moving on.