- Log into server. Open a Terminal.
- In terminal, run
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
- After download complete, run
bash Miniconda3-latest-Linux-x86_64.sh
. Accept all defaults. - Add
conda
to your PATH variable by runningnano ~/.bashrc
, and adding this line to the bottom of the file:export PATH="~/miniconda3/bin:$PATH"
- Run
source ~/.bashrc
to update your PATH variable. Runconda --version
and make sure that conda is properly installed; it should return the version number.
- Download/copy+paste the
environment.yml
file in this repository to your project folder. - In the terminal, change to the project folder directory containing the
environment.yml
file. - Run
conda env create -f environment.yml
to re-create thecapstone
conda environment. It should install the libraries as specified in theenvironment.yml
file. - After it completes installing the libraries, run
conda activate capstone
to activate the conda environment. - Run
jupyter lab
to start a Jupyter Lab instance. A Firefox window should pop up with a running JupyterLab session. You can work on your notebooks from here.