using pyljΒΆ

There are a number of ways to get using pylj:

  • Fork the code: please feel free to fork the code on GitHub and add functionality that interests you.
  • Run it locally: pylj is available through the pip package manager. However, it does require a Jupyter notebooks environment. Therefore we recommend using the anaconda package, which gives Jupyter notebooks as well as packages such as numpy and matplotlib. For best performance a C++ compiler is required, usually the Visual C++ package is best (Windows).
  • Use the web app: pylj is available online at the following link.
  • Get in touch: Andrew is always keen to chat to potential users or educators so feel free to drop him an email.