Random Number demos for CoDaS 2018
To be able to run the demo, you are going to need a laptop with Miniconda (a minimal version of Anaconda) and several Python packages installed, or use the resources used for the PyTorch tutorial.
Download and install Miniconda
Please go to the following website: https://conda.io/miniconda.html download and install the latest Miniconda version for Python 3.6 for your operating system.
wget <http:// link to miniconda> sh <miniconda .sh>
After that, type:
and read the manual.
Check-out the git repository with the exercise
Once Miniconda is ready, checkout the course repository and and proceed with setting up the environment:
git clone https://github.com/dan131riley/RandomDemo.git
Create isolated Miniconda environment
Change into the course folder, then type:
cd RandomDemo conda env create -f conda-envt.yml source activate codas-random
Start jupyter notebook
Finally, start the jupyter notebook, if working on laptop do: