A simple and cross-platform effective way to create a conda env with appropriate dependencies

environment.yml

# for more info see:
# https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#create-env-file-manually
name: core-env
channels:
  - conda-forge
dependencies:
  - python=3.7
  - matplotlib
  - jupyterlab
  - xlrd
  - pandas
  - openpyxl
  - seaborn
  - numpy
  - requests
  - scipy
  - pyodbc
  - pylint
  - jupytext
  - plotly
  - python-dotenv
  - scikit-learn
  - statsmodels

usage.sh

# create a new env named "core-env" as specified in the file
conda env create -f environment.yml

# or override the name and provide your own
conda env create -n test-env -f environment.yml

# for more info see:
# https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-from-an-environment-yml-file