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James Data Science package

Project description

jmspack

drawing

Python package of functions that James finds useful

codecov Code Style Actions Passing

The documentation for the package can be found here. Netlify Status

The package can be installed via conda using the following code:
conda install -c james.twose jmspack

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The package can be installed via pip using the following code:
pip install jmspack

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Installation from github

  • Clone the repository
  • git clone git@github.com:jameshtwose/jmspack.git
  • Create a virtual environment
  • python3 -m venv venv
  • Activate the virtual environment
  • source venv/bin/activate
  • Install the requirements
  • pip install -r requirements.txt

Project details


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