Python for health data science: a hands-on introduction

Learning materials for Coding for Machine Learning and Data Science

This material is also available as a Jupyter Book

Installing the virtual environment

Details of a conda virtual environment is available in binder/environment.yml

1. Clone the repo
2. Navigate to the repo in a terminal (Mac/Linux) or anaconda prompt (Windows)
3. Create the virtual environment

• conda env create -f binder/environment.yml

4. Activate the environment

• conda activate hds_code

5. Launch Jupyter-lab to edit and run code

• jupyter-lab

Citation

Please cite using the zenodo link. LaTex is:

@software{monks_thomas_2023_8377497,
  author       = {Monks, Thomas},
  title        = {{Python for health data science: a hands-on 
                   introduction}},
  month        = sep,
  year         = 2023,
  note         = {{If you use this software, please cite it using the 
                   metadata from this file.}},
  publisher    = {Zenodo},
  version      = {v2.0.1},
  doi          = {10.5281/zenodo.8377497},
  url          = {https://doi.org/10.5281/zenodo.8377497}
}