If you have not done already you need to install Anaconda first.

Install the Dependencies

The notebooks are compatible with Python version 3.5 or later, all packages required are listed in environment.yml and requirements.txt. Pick any option below to install the dependencies:

Create a conda environment

Open your Terminal (or Command Prompt on Windows).

Use environment.yml to create a conda environment by executing the following command line:

conda env create -f environment.yml

This creates a conda environment named "mcfds_LinAlg". For conda 4.6 and later versions, activate this environment with

conda activate mcfds_LinAlg

For conda version prior to 4.6, run source activate mcfds_LinAlg on Linux and MacOS, activate mcfds_LinAlg on Windows.

Install with conda

conda install matplotlib numpy scipy jupyter imageio ipywidgets

Install with pip

Install the packages using requirements.txt for pip:

pip install -r requirements.txt

Check Installation

Run the script check_install.py to check whether the required packages are installed correctly:

python check_install.py

Opening and running Jupyter Notebooks

To launch a Jupyter notebook, open your terminal and navigate to the directory where you would like to save your notebook. Then type the command jupyter notebook in the your terminal (at the directory where you have saved your notebook) and the program will instantiate a local server at localhost:8888 (or another specified port). For more detailed tutorial see here: https://www.codecademy.com/article/how-to-use-jupyter-notebooks

You can also run a Jupyter notebook via VSCode. Here is the full guide: https://code.visualstudio.com/docs/datascience/jupyter-notebooks