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James Data Science package

Project description

jmspack

drawing

Python package of functions that James finds useful

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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

PyPI version PyPI download month

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

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