Foundations of Distributed and Large Scale Computing Optimization - Homeworks
This repository is developed on Linux 64-bit in Python 3.7 using (Mini)conda.
To instanciate the conda environment, run conda create --file conda-env.txt --name optim.
Then use pip to install the required Python packages: pip -r requirements.txt.
To use the virtual environment: source activate optim
To install a custom kernel in jupyter lab/notebook: ipython kernel install --user --name=optim
To work on Jupyter notebook or Jupyter lab you will need to install it via pip. Follow the instructions here to make the environment kernel available in your jupyter installation.