Random Number demos for CoDaS 2018

https://ml-front.nautilus.optiputer.net/index.html

Getting started

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:

conda --help

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: