addition of pip will be added later
- Clone this repository into your local machine:
git clone <repo url>Or by PAT;
git clone https://<your PAT>@<repo url>- Install the required packages inside your conda env (ensure Conda is installed and set in PATH):
This should be run only once, to create the environment.
conda env create -f environment.yml
conda activate <env name>I also created an automation script called autoconf.py, such that everytime you install a new package or remove an existing package, you can run the script to auto update the environment.yml. Note that this script is only for conda envs, I'll be adding a pip variant soon.
The -y flag is set to auto, hence to change it, edit autoconf.py
python autoconf.py <command> <package>Commands: install or remove
docker build -t gliese_22:tag .
docker run -it gliese_22:tagThe python file can be run normally from any editor that supports version 3. You can also make use of the .ipynb file by running it in a Google Colab or Kaggle instance.